Gracenote is the top provider of entertainment information, creating industry-leading databases of TV, movie, and music metadata for entertainment guides, applications and in-car entertainment. Our technology serves billions of requests daily to hundreds of millions of devices around the world. Our customers include innovators like Apple, Twitter, Google, Spotify, M-GO and Hulu, top consumer electronics and cable companies, and leading automotive manufacturers such as Ford and Toyota, throughout the US and the world. Simply put, data provides you with an opportunity to impact the evolution of the entire entertainment industry. Job Purpose As a senior DBA, your role is to own the databases in our data pipeline and the data governance of our Data Strategy. Our Data Strategy underpins our suite of Client-facing Applications, Data Science activities, Operational Tools and Business Analytics. Responsibilities Architect and build scalable, resilient and cost-effective data storage solutions to support complex data pipelines. The architecture has two facets: Storage and Compute. The DBA is responsible for designing and maintaining the different tiers of the data storage, including (but not limited to) archival, long-term persistent storage, transactional and reporting storage. Design, implement and maintain various data pipelines such as self-service ingestion tools, exports to application-specific warehouses, and indexing activities. The senior DBA is responsible for data modeling, as well as designing, implementing and maintaining various data catalogs, to support data transformation and product requirements. Configure and deploy databases on AWS cloud, ensuring optimal performance and scalability. Monitor database activities for compliance and security purposes. Set up and manage backup and recovery strategies for cloud databases ensuring availability and quality. Monitor database performance metrics and identify areas for optimization . Create scripts for database configuration and provisioning. Collaborate with Data Science to understand, translate, and integrate methodologies into engineering build pipelines. Partner with product owners to translate complex business requirements into technical solutions, imparting design and architecture guidance. Provide expert mentorship to project teams on technology strategy, cultivating advanced skill sets in software engineering and modern SDLC. Stay informed about the latest technologies and methodologies by participating in industry forums, having an active peer network, and engaging actively with customers. Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through teamwork. Must have skills: Experience with languages such as ANSI SQL, TSQL, PL/pgSQL, PLSQL, plus database design, normalization, server tuning, and query plan optimization. 6+ years of professional DBA experience with large datastores including HA and DR planning and support. Software Engineering experience with programming languages such as Java, Scala, and Python. Demonstrated understanding and experience with big data tools such as Kafka, Spark and Trino/PrestoExperience with orchestration tools such as Airflow Comfortable using Docker and Kubernetes for container management. DevOps experience deploying and tuning the applications you ve built. Monitoring tools such as Datadog, Prometheus, Grafana, Cloudwatch. Good to have: Software Engineering experience with Unix Shell. Understanding of File Systems. Experience configuring database replication (physical and/or logical). ETL experience (3rd party and proprietary). A personal technical blogA personal (Git) repository of side projectsParticipation in an open-source community Qualifications B. E / B. Tech / BCA/ MCA in Computer Science, Engineering or a related subject. Strong Computer Science fundamentals. Comfortable with version control systems such as git. A thirst for learning new Tech and keeping up with industry advances. Excellent communication and knowledge-sharing skills. Comfortable working with technical and non-technical teams. Strong debugging skills. Comfortable providing and receiving code review feedback. A positive attitude, adaptability, enthusiasm, and a growth mindset. About Nielsen: By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Gracenote is the top provider of entertainment information, creating industry-leading databases of TV, movie, and music metadata for entertainment guides, applications and in-car entertainment. Our technology serves billions of requests daily to hundreds of millions of devices around the world. Our customers include innovators like Apple, Twitter, Google, Spotify, M-GO and Hulu, top consumer electronics and cable companies, and leading automotive manufacturers such as Ford and Toyota, throughout the US and the world. Simply put, data provides you with an opportunity to impact the evolution of the entire entertainment industry. Job Purpose Develop and enhance our flagship Video, Audio, Automotive and Sports metadata software solutions. Design applications with a Platform-first mentality where scale, consistency and reliability are at the core of every decision. Responsibilities Design, develop, and maintain scalable and robust Big Data pipelines and systems. Architect and implement solutions for managing & processing large-scale datasets with fast refresh cycles, ensuring high performance, scalability & accuracy. Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to define and translate business requirements into technical solutions. Write clean, maintainable, and efficient code following best practices and coding standards. Conduct design and code reviews to ensure high-quality deliverables and adherence to best practices. Troubleshoot and resolve complex issues in systems, ensuring reliability, availability, SLA compliance, observability, and minimal downtime. Participate in the full software development lifecycle, including planning, development, review, testing, and deployment. Stay up-to-date with emerging technologies and industry trends to continuously improve skills and knowledge. Mentor and guide junior engineers, fostering a culture of learning and collaboration within the team. Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 6 to 10 years of professional experience in Big Data engineering, with hands-on expertise in processing large-scale datasets. Advanced programming skills in Python, Java, or Scala, with a focus on data processing and stream analytics . Experience of working with distributed data systems such as Spark or Flink. Deep understanding of distributed storage systems (HDFS, S3, or ADLS) and modern file formats like Parquet, ORC & Arrow. Strong expertise in Lakehouse architectures and technologies like Delta Lake, Iceberg and data orchestration tools like Airflow, Dagster. Knowledge of database systems, including NoSQL stores (Cassandra, MongoDB), relational databases (PostgreSQL, MySQL) and SQL. Working proficiency with Agile development methodologies and CI/CD practices. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication and interpersonal skills. Preferred Skillsets Experience with cloud platforms (e. g. , AWS, Azure, Google Cloud). Familiarity with containerization technologies (e. g. , Docker, Kubernetes). Knowledge of CI/CD tools and practices. Experience with test-driven development (TDD) and automated testing frameworks. Familiarity with data visualization tools is good to have. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Gracenote is the content business unit of Nielsen that powers the world of media entertainment. Our metadata solutions help media and entertainment companies around the world deliver personalized content search and discovery, connecting audiences with the content they love. We re at the intersection of people and media entertainment. With our cutting-edge technology and solutions, we help audiences easily find TV shows, movies, music and sports across multiple platforms. As the world leader in entertainment data and services, we power the world s top streaming platforms, cable and satellite TV providers, media companies, consumer electronics manufacturers, music services and automakers to navigate and succeed in the competitive streaming world. Our metadata entertainment solutions have a global footprint of 80+ countries, 100K+ channels and catalogs, 70+ sports and 100M+ music tracks, all across 35 languages. Job Purpose Develop and enhance SaaS/PaaS platforms for kubernetes, data-lake query, data-processing, orchestration, monitoring, and more by leveraging popular open source software and git automation. Ensure the reliability and availability of our SaaS/PaaS services using SRE best practices for architecture, monitoring, alerting, etc. Role Description Evaluate, contribute to, and leverage open source technologies including Kubernetes, Trino, Spark, Airflow, Prometheus + friends, ELK, Jupyter, and more in order to create and enhance our internal SaaS/PaaS platforms. Be an internal sales-person for the DevOps tools and best-practices, helping to get all teams towards full adoption. The platform allows Gracenote to provide all teams with features, optimizations, updates, and security enhancements at scale and pace. Diagnose technical and scalability faults on platform services which are typically built on Kubernetes. Provide technical support and usage guidance to the users of our platform s services. Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services. Role Requirements Passionate about software development and DevOps. Competency in SQL and scripting in bash and or python for automation. Experience with DevOps automation technologies like Terraform, Ansible, Secrets Management, Git, Jenkins (or similar ones). Experience with Unix/Linux based platforms. Experience with containers (docker, container). Experience with AWS Services. 6+ years of work experience. A degree in computer science, engineering, math or related fields Desired Skills A personal tech blog Ability to code well in Java or Python (or another language and willingness to earn these two). Experience with containers (docker, containerd) and kubernetes. Experience with Presto, Trino, Spark, Airflow, Prometheus, ELK, or similar technologies. History of open source contributions

Job Summary Nielsen is the leading media measurement company, measuring convergent TV, online and radio consumption across the globe. Our Data Science team is experimenting, testing, and implementing innovative methodologies to provide the insights that publishers and advertisers need. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! You will be part of a data science team that is responsible for the Advanced Audience measurement. With the team you will develop new methodologies using techniques from the fields of econometrics and machine learning, such as regression- and classification models, dimension reduction, time series models, nearest neighbour type of algorithms and (convex) optimization. Together you will build and maintain robust pipelines that apply these methodologies. With this, the team supports the advanced analytics needs of Nielsens audience measurement products that provide value for clients. The team collaborates cross functionally with colleagues from product, data engineering, DevOps and other data science teams to develop joint solutions. In this role your focus in the team will be on methodology development, although you will also take part in the other team tasks, such as data engineering, developing and maintaining production pipelines, and various analytics tasks. Responsibilities Explore and analyze data. Craft scalable, interpretable models, employing techniques from the fields of statistics, econometrics and machine learning. Provide research support for the identification and implementation of methods and best practices. Design, develop, optimize, and maintain robust data science pipelines. Explain complex analytics methodologies to internal and external Nielsen stakeholders, demonstrating their direct relevance to strategic audience measurement goals. Ensure documentation of new methodologies and best practices. Help incubate a forward-thinking culture. This includes prioritizing staying up-to-date with new software, methodologies, and industry research and facilitating the cross pollination of ideas across individuals and teams. Cultivate a team environment focused on continuous learning Qualifications Possession of a Bachelor s degree, with a preference for an MS or PhD in Data Science, Computer Science, Statistics or Mathematics, Operation Research, (or other hard sciences, ) with outstanding analytical expertise and strong technical leadership skills. At least 5 years of experience in data science roles, or a graduate degree in a quantitative discipline with a demonstrated skill set in data science. Experience in media industry is good to have. You comprehend complex problems quickly, are creative in finding solutions and are a critical thinker with a keen eye for detail. You are a team player, you like to test ideas with colleagues and you like to participate in peer reviews. Professional expertise in using machine learning and mathematical modeling. High proficiency in Python, SQL, and PySpark. Expertise in working with big data. Have a thirst for new challenges. The candidate should be comfortable diving into the unknown and making sense of whats noise and what isnt. Feel comfortable and excited to bring innovative ideas and challenge existing methods and processes. This requires the ability to pick apart the implementation details from the overall design. Have a mathematical and/or statistical background with the ability to dive "into-the-weeds" when necessary to help fine-tune methods and models. Be able to communicate effectively to various types of personas: commercial partners, product leaders, infrastructure architects, data scientists, and data engineers. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! This role is based out of Mumbai , is part of GCM team and will be reporting to the Lead Data Scientist. To build and maintain robust data pipelines that support the advanced analytics needs of Nielsens audience measurement products (esp NielsenOne) that provide value for clients. The role entails ensuring data quality and accessibility, optimizing data flow and storage, and collaborating with data scientists to implement scalable solutions for complex data challenges Responsibilities Design, develop, optimize, and maintain robust data architecture and pipelines, aligning with ETL principles and Nielsens business objectives. Tackle complex data challenges to deliver actionable insights, aiding in the achievement of organizational goals and meaningful client impact. Ensure the integration of disparate data sources into a cohesive and efficient data ecosystem, facilitating seamless data accessibility and interoperability for various analytical platforms and stakeholders throughout Nielsen. Develop data products to enhance the productivity of analytics and data science teams solving client problems. Offer mentorship, advice, and coaching to other professionals in data and analytics on best practices and standards. Lead in the evaluation and deployment of cutting-edge tools and processes in analytic data engineering, boosting the teams overall efficiency and effectiveness. Develop and execute communication and educational plans regarding analytic data engineering capabilities and standards. Develop strategies for data storage and retrieval that are efficient and scalable, accommodating the growing data needs of the organization. Collaborate with business analysts and solutions architects to devise technical architectures for key enterprise projects and initiatives that improve client experience. Engage in continuous learning in areas like machine learning, data science, AI, statistics, and applied mathematics. Key Skills Bachelor s degree required; preferably in Computer Science, MIS, or Engineering. At least 2 years in data engineering or a related role, with expertise in SQL, data analysis, and at least one programming language. Experience in media/content management/advertising industry is good to have. Experience with cloud computing services and infrastructure in the data and analytics space. Technical Skills Advanced skills in SQL and experience in programming languages like Python or Scala. Strong background in database development, particularly with Hadoop or BigQuery. Experience with big data development tools like Hive, Impala, Spark, and Kafka is beneficial. Proficiency in BI tools (Tableau, Power BI, Looker, Shiny). Conceptual understanding of ETL, data governance, data warehousing, and cloud-based environments (e. g. , Azure, AWS)Self-motivated with a keen problem-solving aptitude and a continuous learning mindset. Prioritizes a customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs to deliver rapid customer impact. Demonstrates a strong work ethic, capable of working abstractly. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Gracenote is the top provider of entertainment information, creating industry-leading databases of TV, movie, and music metadata for entertainment guides, applications and in-car entertainment. We are the leading supplier of TV and movie entertainment data. We supply data to entertainment platforms and devices. We are presently looking for an Enrichment Editor ROLE The Editor will be expected to research, gather and process TV programs and movies from studios, distributors, websites and related sources in a timely and accurate manner for entering into our internal database. Communication with broadcasters, content providers and other internal teams will be expected in order to secure all necessary editorial requirements. RESPONSIBILITIES : 1. Curate and rewrite synopses and create a content database for movies, shows, and episodes 2. Achieve and maintain high standards of quality and productivity for client satisfaction 3. Take up ad-hoc projects along with daily tasks, as and when required 4. Adapt to the in-house style guide rules and replicate them in the synopses 5. Keep abreast of the latest changes in the style guide 6. Proofread and edit content to ensure grammatical accuracy 7. Stay up-to-date with best practices in writing and grammar usage 8. Create new metadata records and/or enhance existing metadata for movies, TV programs and episodes 9. Investigate, confirm and document questionable program content through research from reliable sources 10. Work accurately in a fast-paced environment with stringent deadlines 11. Maintain accurate database information, ensuring all output conforms to strict broadcast quality standards, editorial policies and client service level agreements 12 Self-manage Key Performance Indicators on a daily basis 13 Identify cross-skilling opportunities to support other projects. SKILLS & EXPERIENCE: 1. Passionate about TV and movies and the latest programs. An interest in sports is also essential 2. Ability to write concise, snappy and what we call snackable content 3. Bachelor s Degree or equivalent work experience in Communications or Journalism 4. Excellent command over the English language, experience working with an editorial style guide and impeccable written and verbal skills 6. Exceptional command over English grammar, punctuation, and syntax 7. Experience using content management systems 8. Strong research, rephrasing and rewriting skills 9. Problem-solving mindset and willingness to take initiative while mitigating risks 10. Must understand and quickly adapt to new processes and training 11. Ability to work independently with excellent project and time management skills 12. Strong communication skills and ability to adjust to rapidly shifting deadlines while remaining detail-oriented 13. Ready to work in a 24/7 operation, including evening, night and weekend shifts 14. The role is hybrid, so they will be working partially from home which is in the same city as the Nielsen office they are employed with and partially from a Nielsen office / site. ABOUT THE TEAM Gracenote, a Nielsen company, provides music, video, and sports content along with technologies to the worlds hottest entertainment products and brands, which is also a global standard for music and video recognition which is supported by the largest source of entertainment data. Gracenote features descriptions of more than 200 million tracks, TV listings for 85+ countries, and statistics from 4, 500 sports leagues and competitions. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

ABOUT THIS JOB: We require someone who has worked in SAP BTP, CPI, and PI/PO with a minimum 3 to 5 years of experience. RESPONSIBILITIES: 4 to 6 years experience in XI/PI/PO and BTP/CPI integrations developing, monitoring, implementation and support of inbound and outbound interfaces to/from CPI tenant to On-Premise and Cloud instances of SAP Products Strong experience in configuration and extension of standard iFlows. Strong experience in creating custom iFlows, exception sub-processes and handling Strong expertise in configuration and setup of a wide variety of integration adapters in SAP CPI (SFSF, ODATA, SFTP, IDOC, SOAP, HTTP, Process Direct, REST Adapters). Experience in defining and configuration of multiple data conversions like JSON to XML, CSV to XML, etc. Experience in HANA cloud integration/ CPI. Experience with PI components such as SLD, ESR, IR, ID and Runtime workbench Experience with dual stack as well as single stack and hands on upgrade experience in migrating from dual to single stack a plus Expertise in configuring adapters like IDOC, JDBC, SOAP, HTTP, JMS, RCF, File/FTP, REST, SFSF, Concur, and Dell Boomi Experience in NW BPM Scenarios Experience in Secure Add-on and integrating cloud based adapters like Successfactors, Salesforce, Ariba, Concur etc. Java programming like java mapping and adapter module development and XSLT mappings Experience in SOAP-Axis, OAuth, WSS, NTLM authentication Process Orchestration, NBPM and MBRM experience a plus Experience in Alert Configuration, Transportation techniques File/CTS+ Knowledge of ALE governance that includes but not limited to configuring Partner profiles, ports, distribution model and message types Knowledge of ABAP programming a plus A LITTLE BIT ABOUT YOU: Mandatory Skill : CPI Tenant configuration and integration setup along with knowledge of configuring adapters like IDOC, JDBC, SOAP, HTTP, JMS, RCF, File/FTP, REST, SFSF, Excellent communication skills QUALIFICATIONS: Any Graduate / Equivalent three year graduation SAP Certification will be a plus As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what s true, we measure across all channels and platforms from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, inquisitive colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Gracenote is the content business unit of Nielsen that powers the world of media entertainment. Our metadata solutions help media and entertainment companies around the world deliver personalized content search and discovery, connecting audiences with the content they love. We re at the intersection of people and media entertainment. With our cutting-edge technology and solutions, we help audiences easily find TV shows, movies, music and sports across multiple platforms. As the world leader in entertainment data and services, we power the world s top streaming platforms, cable and satellite TV providers, media companies, consumer electronics manufacturers, music services and automakers to navigate and succeed in the competitive streaming world. Our metadata entertainment solutions have a global footprint of 80+ countries, 100K+ channels and catalogs, 70+ sports and 100M+ music tracks, all across 35 languages. Job Purpose Develop and enhance our flagship Video, Audio, Automotive and Sports metadata software solutions. Design applications with a Platform-first mentality where scale, consistency and reliability are at the core of every decision. Job Description and Key Skills As a Lead Engineer, you will be responsible for leading the designing, developing, and maintaining high-quality software applications using Java. You will collaborate with cross-functional teams to define, design, and ship new features, while also ensuring the performance, quality, and responsiveness of applications. In addition you will mentor and guide the junior engineers. Experience in designing, developing and scaling enterprise grade application, including developing solutions from scratch. Proficiency in SQL / NoSQL database administration, including schema design for large scale Java Applications. Proven experience in leading and mentoring a team of engineers ensuring successful project delivery. In depth knowledge and proficiency of Kafka concepts Key Responsibilities Lead Design, develop, and maintain scalable and robust Java applications. Collaborate with product managers, designers, and other engineers to gather requirements and translate them into technical specifications. Write clean, maintainable, and efficient code following best practices and coding standards. Conduct code reviews ensuring adherence to best practices and high coding standards provide constructive feedback to team members. Troubleshoot and debug applications to optimize performance and resolve issues. Participate in the full software development lifecycle, including planning, development, testing, and deployment. Participate in architectural discussions and decision-making processes to shape the future of our technology stack Stay up-to-date with emerging technologies and industry trends and evaluate their potential impact on our products and services. Contribute to the development and improvement of engineering processes, tools, and methodologies. Mentor and guide junior engineers, fostering a culture of learning and collaboration within the team. Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 8+ years of professional experience in software development, with a strong focus on Java. Proficiency in Java frameworks such as Spring, Hibernate, or similar. Experience with RESTful APIs and microservices architecture. Familiarity with front-end technologies (e. g. , HTML, CSS, JavaScript) is a plus. Working knowledge of machine learning and data science concepts . Understanding of software development methodologies (Agile, Scrum, etc. ). Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication and interpersonal skills. Preferred Qualifications Experience with cloud platforms (e. g. , AWS, Azure, Google Cloud). Familiarity with containerization technologies (e. g. , Docker, Kubernetes). Knowledge of CI/CD tools and practices. Experience with test-driven development (TDD) and automated testing frameworks. What We Offer Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. Flexible work hours and remote work options

Join the Nielsen One Application (N1 Apps) team as we develop the next-generation software suite that unifies all of Nielsen s offerings into one seamless experience. Leveraging cutting-edge technologies, we re on a quest for smart, innovative engineers ready to tackle complex integration tasks and introduce new technologies. At N1 Apps, collaboration is key. We thrive on growth, initiative, and innovation, nurturing an open culture that prizes learning and experimentation. Enhance your skills in our guild meetings, influence our roadmap with your architectural ideas, and collaborate cross-functionally to deliver unparalleled user experiences. We re expanding across multiple teams and are eager to connect with candidates who are ready to make an impact. If you re interested and believe you fit this dynamic role, we d love to hear from you! About the role You ll be working within an international group of teams spanning from India to Europe and the US. As a Senior Scala/Spark Engineer, you will be working alongside and guiding a team of diverse engineers, including DevOps, Data, Backend, and Front End engineers. You should be able to work independently, guide junior engineers, and possess a passion and drive for learning, suggesting, and adapting to new technologies. Key Skills Discuss the Cost of Change (= code quality) with your team members continuously. Write unit tests, integration tests, and API tests. Support the application 24/7 based on team on-call rotations. Write clean code with a focus on coupling, separation of concerns, and best practices. Spend 90% of your time writing code, emphasizing Test-driven development (TDD). Dedicate 10% of your time to learning and improving existing application architecture. Stay open to learning and adapting to new technology architectures and patterns. Possess knowledge of distributed architectures, particularly with Akka, Akka Cluster, and Akka Persistence, alongside experience using Spark with Scala. Have some hands-on experience with building and creating CI/CD pipelines. Conduct code reviews and participate in design discussions. Analyze the impact of changes on data and implement event sourcing and CQRS patterns. Have a strong understanding of functional, reactive and parallel programming. Troubleshoot and solve complex problems in production. Collaborate and coordinate with different stakeholders, including product, data science, and account managers. Diagnose AWS infrastructure issues related to the application. Implement best practices for 24/7 application monitoring, orchestration, and performance optimization. Follow Agile principles, participate in grooming and planning sessions, and effectively translate business requirements to Agile stories. Practice DevOps and SecOps for continuous incremental delivery and quality products with the guidance of senior engineers. Preferred Leadership qualities and the ability to inspire and motivate a team, mentoring junior engineers and fostering a collaborative team environment At least 1 year of experience with Test-driven development (yes, test-first!) Familiarity with CQRS, event sourcing, and Domain-Driven Design (DDD). Familiarity working with large scale enterprise Java/BigData systems using Agile, TDD & DevOps methodologies. Proven track record on delivering enterprise software solutions using Agile principles with either Scrum or Kanban.

ABOUT THE ROLE The Gracenote Sports Content team keeps track of 3, 000 leagues across 200 different sports. This data is delivered in multiple languages to media clients, international sports federations and national sports governing bodies. Our live sports data can also be seen on smart TVs and in cars. We are presently looking for a Live Data Production Editor to join our Content team. This role is responsible for our live sports coverage, you will capture several live match events and use Gracenote s Sports-based tooling in the process. You will work as quickly as possible watching, analyzing, and entering data to deliver the required deep sports data to our (media) customers within seconds RESPONSIBILITIES: Live scoring of sports, including football, tennis, cricket, road cycling and many more! Enter player and schedule information for upcoming competitions and matches. Process (historic) results of any of the 250 sports covered by Gracenote Expect to spend about 80% of your time on Live scoring of sports, including football, tennis, cricket and many more REQUIREMENTS & QUALIFICATIONS Must be a Graduate in any field Should be proficient in the English language and possess excellent writing and communication skills Ready to work in a 24/7 operation, including evening and weekend shifts. The role is hybrid, so you must live near Nielsen s Mumbai office. Work from home is possible if an adequate workplace for working with live sports is available. Preferred Skills: Avid follower of one or more different sports. Excellent general sports knowledge Able to deal with stress and time pressure, and able to make quick decisions. Able to identify reliable, accurate data from sources. Solid communication and time-management skills required Have excellent computer skills Desired Skills: Able to work when sports are happening - evening - nights - weekends. Have excellent written and verbal English skills . High quality focused individuals with a high level of attention to detail. Have excellent written and verbal English skills. High quality focused individuals with a high level of attention to detail. ABOUT THE TEAM Gracenote, a Nielsen company, provides music, video, and sports content along with technologies to the worlds hottest entertainment products and brands, which is also a global standard for music and video recognition which is supported by the largest source of entertainment data. Gracenote features descriptions of more than 200 million tracks, TV listings for 85+ countries, and statistics from 4, 500 sports leagues and competitions. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

ABOUT NIELSEN Nielsen, formerly Nielsen Holdings plc, is a global data and analytics company that provides a comprehensive understanding of consumer behavior and media consumption. Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. Nielsen has a presence in approximately 49 countries, with headquarters in New York, USA and Diemen. THE JOB BRIEF Looking for a dynamic career with a company that encourages and rewards creativity and fresh thinking? Do you love turning the complex into something simple and easy to understand? Are you looking at starting a career in data analytics or media research? Are you keen to learn and keen to grow? This could be the ideal role for you. The Consumer Media Insights (CMI) & Consumer and Media View (CMV) Operation s teams are responsible for ongoing delivery of survey data to clients in New Zealand and Australia. The Nielsen Consumer survey provides a 360 degree view of the consumer, and provides valuable insights to our clients on what people are, watching, buying and doing. The Operations team, based in Bangalore, are seeking an enthusiastic, permanent new team member to join a hard working, collaborative team. Day to day, The Operations Team leader will play an important role in impacting what data we provide to clients. They will work closely with key stakeholders in the CMI & CMV process to ensure the data we provide is high quality, accurate and timely. Stakeholders include: Senior Operations Leads based in Australia & New Zealand: Responsible for the end-to-end data collection, production and resource management. Programming team: Managing the back end of the survey. Communicating and updating the programmers on required changes and updates. Customer Success team based in Australia & New Zealand: Work closely with the Operations team to ensure consistency in the data, supporting client requests & assisting meeting market needs. Making suggestions for ongoing improvement to the CMV & CMI Surveys. Responsibilities Lead and manage a team of 6 to 7 individuals Organise, plan, control and monitor workflow, co-ordinating resources to ensure consistent completion of daily tasks in alignment with established service standards. Support team deliverables by undertaking a range of roles and tasks when required. Conduct survey testing and survey validation to ensure data accuracy and reliability Responsible for ensuring all Quality Control checks and analysis required are completed by local teams within the agreed timeframes and in accordance with documented procedures. Ensure all scheduled tasks are completed within the given timeline. Collaborate effectively with the Pacific production team on a daily basis to ensure a smooth data delivery to CMV & CMI Clients. Contribute towards ongoing process improvement and implementation. Report daily tasks in resource reporting software. Work inclusively with your team and stakeholders. Input into the development of individual team members, ensuring cross training is carried out and there is sufficient knowledge and resource to cover absences. Troubleshooting technical data queries and assisting internal stakeholders. SKILLS AND EXPERIENCE Having at least 2 years experience in managing a small to medium team 7-10 years of total working experience Working Hours: 7am IST to 4pm IST Knowledge of end-to-end operational production workflows and methodologies Demonstrated experience in designing and maintaining market research surveys and understanding of different surveying methodologies. Strong verbal and written communication skills Excellent organisational skills & the ability to juggle competing priorities An interest in data analytics Intermediate level of proficiency in MS Excel/Google Sheets preferred Knowledge of programming languages; SQL, Google Apps Script preferred Experience using a workforce planning/scheduling tool

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and our own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! The Advanced Audience Team focuses on methodologies and pipelines that measure how effectively these campaigns reach targeted audiences, as defined by the client, or via demographics, or even pre-defined audiences from our partners. The team builds and maintains robust data pipelines that support the advanced analytics needs of Nielsens audience measurement products that provide value for clients. The role entails ensuring data quality and accessibility, optimizing data flow and storage, and collaborating with other data scientists to implement scalable solutions for complex data challenges Responsibilities Design, develop, optimize, and maintain robust data architecture, methodologies, and pipelines, aligning with ETL principles and Nielsens business objectives. Tackle complex data challenges to deliver actionable insights, aiding in the achievement of organizational goals and meaningful client impact. Develop data science methodologies and solutions that solve key client problems, and that are reproducible and scalable. Ensure the integration of disparate data sources into a cohesive and efficient data ecosystem, facilitating seamless data accessibility and interoperability for various analytical platforms and stakeholders throughout Nielsen. Offer mentorship, advice, and coaching to other professionals in data and analytics on best practices and standards. Lead in the evaluation and deployment of cutting-edge methodologies and processes in data science, boosting the teams overall efficiency and effectiveness. Collaborate with business analysts and solutions architects to devise technical architectures for key enterprise projects and initiatives that improve client experience. Engage in continuous learning in areas like machine learning, data science, AI, statistics, and applied mathematics Skills Masters degree in Data Science, Computer Science, Statistics or Mathematics, Operation Research, or other hard sciences) with outstanding analytical expertise and strong technical leadership skills. Proficient in Python or other general purpose programming languages, or other statistical/data processing packages. Have a thirst for new challenges. The candidate should be comfortable diving into the unknown and making sense of whats noise and what isnt. Have an eye for design at multiple levels: Infrastructure architecture (cloud infrastructure), ETL data pipelines, and analytic pipelines. Have Experience building analytic methodologies: either from scratch, using existing software libraries and APls, and/or combinations of the two. Feel comfortable and excited to bring innovative ideas and challenge existing methods and processes. This requires the ability to pick apart the implementation details from the overall design. Have a mathematical and/or statistical background with the ability to dive "into-the-weeds" when necessary to help fine-tune methods and models. Help incubate a forward-thinking culture in a growing data-science organization. This includes prioritizing staying up-to-date with new software, methodologies, and industry research and facilitating the cross pollination of ideas across individuals and teams. Be self-motivated with a keen problem-solving aptitude and a continuous learning mindset. Demonstrates a strong work ethic, capable of working abstractly. Be able to communicate effectively to various types of personas: commercial partners, product leaders, infrastructure architects, data scientists, and data engineers. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and our own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! The Advanced Audience Team focuses on methodologies and pipelines that measure how effectively these campaigns reach targeted audiences, as defined by the client, or via demographics, or even pre-defined audiences from our partners. The team builds and maintains robust data pipelines that support the advanced analytics needs of Nielsens audience measurement products that provide value for clients. The role entails ensuring data quality and accessibility, optimizing data flow and storage, and collaborating with other data scientists to implement scalable solutions for complex data challenges. Responsibilities Design, develop, optimize, and maintain robust data architecture, methodologies, and pipelines, aligning with ETL principles and Nielsens business objectives. Refactor research software prototypes to production grade standards, improving performance and reliability. Tackle complex data challenges to deliver actionable insights, aiding in the achievement of organizational goals and meaningful client impact. Develop data science methodologies and solutions that solve key client problems, and that are reproducible and scalable. Ensure the integration of disparate data sources into a cohesive and efficient data ecosystem, facilitating seamless data accessibility and interoperability for various analytical platforms and stakeholders throughout Nielsen. Offer mentorship, advice, and coaching to other professionals in data and analytics on best practices and standards. Lead in the evaluation and deployment of cutting-edge methodologies and processes in data science, boosting the teams overall efficiency and effectiveness. Collaborate with business analysts and solutions architects to devise technical architectures for key enterprise projects and initiatives that improve client experience. Engage in continuous learning in areas like engineering, machine learning and data science. Qualifications Masters degree in Data Science, Computer Science, Statistics or Mathematics, Operation Research, or other hard sciences) with outstanding analytical expertise and strong technical leadership skills. Excellent software engineering fundamentals and debugging skills. Significant experience with collaborative code development, including version control, unit/integration testing, code review and sharing. Significant experience working in a cloud-based environment, ideally AWS. Strong machine learning fundamentals. Proficient in Python. Have a thirst for new challenges. The candidate should be comfortable diving into the unknown and making sense of whats noise and what isnt. Have an eye for design at multiple levels: Infrastructure architecture (cloud infrastructure), ETL data pipelines, and analytic pipelines. Have Experience building analytic methodologies: either from scratch, using existing software libraries and APls, and/or combinations of the two. Feel comfortable and excited to bring innovative ideas and challenge existing methods and processes. This requires the ability to pick apart the implementation details from the overall design. Help incubate a forward-thinking culture in a growing data-science organization. This includes prioritizing staying up-to-date with new software, methodologies, and industry research and facilitating the cross pollination of ideas across individuals and teams. Be self-motivated with a keen problem-solving aptitude and a continuous learning mindset. Demonstrates a strong work ethic, capable of working abstractly. Strong communication (verbal and written) and presentation skills in English. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Key Responsibilities: Analyze, design, code, and test highly complex software independently, ensuring robustness and scalability. Act as a technical lead, providing expertise and strategic direction in software development projects. Develop and implement strategies for complex software applications, adapting architecture as necessary to meet evolving requirements. Author comprehensive technical documentation to aid in maintenance and knowledge sharing. Develop, test, and maintain software applications, ensuring they are user-friendly, efficient, and meet all specified requirements. Lead and contribute to all phases of testing, from unit to user acceptance, and ensure software quality through revisions based on test outcomes. Provide leadership within project teams, offering technical insights, reviewing code, and suggesting enhancements. Support internal users and support teams by troubleshooting, assessing, and resolving software issues promptly. Evaluate and integrate new technologies to enhance development capabilities and application performance. Manage software configurations, ensuring adherence to IT standards and maintaining version control in repositories. Collaborate with vendor partners, providing direction when necessary to align with project goals. Specific Technical Skills: Deep understanding of Javascript and related frameworks, ability to evaluate strengths and weaknesses of coding choices, alongside proficiency in design patterns. Expertise in frontend design, development and related technologies such as in Javascript, CSS, HTTP, including frameworks like ReactJS, jQuery, NodeJS, Webpack, Babel. Familiarity with Microservices, RESTful services, Deployment Topology (CDN, Cachings, UI Speed and Performance Optimization). Solid understanding of Data Structures and Algorithms, with an emphasis on scalability and performance optimization. Proficient with testing frameworks appropriate for different levels of the test pyramid. Hands on in developing unit tests and automated test suites using frameworks such as Jest, Mocha, Selenium, Cucumber, etc. Familiarity and willingness to learn backend technologies, to evolve into a full stack engineer. Qualifications: Minimum of 5 years of related experience with a Bachelor s degree, or equivalent education/work experience. Strong problem-solving skills with an aptitude for learning and implementing new technologies. Excellent leadership skills with experience in leading projects or teams. Exceptional analytical and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary The Big Data and Panel Integration team within the Data Science organization focuses on improving and enhancing Nielsen s highly successful audience measurement products out in the marketplace for advertising and content measurement. As part of this exciting team, this position will focus on developing new methodologies to measure audiences across platforms (including on connected or over the top devices, smart TVs, or set top boxes) and on evaluating and integrating new data assets and partners into Nielsen s existing methodologies in order to enhance or expand the data delivered to clients. The Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This position will develop new methodologies to measure audiences across platforms and integrate new big data data assets into Nielsen s existing methodologies. This is an ideal position to grow as a researcher, contribute to innovative products, and deploy cutting edge methodologies across platforms in audience measurement methodology. In this role, you will work closely with other members of the team to optimize and maintain the current codebase, create simulation environments and pipelines, and have the opportunity to conduct research that will enhance the utility of our data. You will also write new coding packages to support the refinement processes of behavioral media tuning data (e. g. household demographic assignment, big data editing rules, big data refinement models) by producing production ready code (scalable, reusable/modular). In addition, you will have the opportunity to grow your data science skills (coding, statistics) through all aspects of the data science workflow and data product lifecycle. Responsibilities would range from methodology development, analysis, lightweight automation to designing, building, and maintaining robust/scalable code packages. Responsibilities Own reproducible data science projects end-to-end. Deploy and maintain data pipelines and models in a production environment. Work with cross-functional teams to productionize, validate, maintain, and optimize methodologies. Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not. Provide technical mentorship. Communicate research findings to varying audiences. Develop, implement and maintain good programming standards and practices across our data science and analytics codebases. Champion and govern best practices for data use and software development. Use git and cloud development tools extensively to iterate and improve data science workstreams. Qualifications Bachelor s or Master s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc. 3-5 years code development/research experience in a business setting. Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2) Excellent verbal and written communication skills. Excellent software engineering fundamentals. Excellent debugging skills. Excellent machine learning fundamentals. Outstanding statistical and analytical skills. Collaborative code development experience, including version control, unit/integration testing, code review and sharing. Curiosity and skepticism Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Join our Big Data Methodology & Computations team and become a key contributor to the future of Media Audience Measurement. As a Senior Data Scientist, you will: Become a subject matter expert in US TV Audience Measurement. Drive Client Acceptance: Conduct custom analyses using your investigative skills and deep understanding of Nielsen s data and proprietary big data models to demonstrate the value and validity of our data science methodologies, promoting client acceptance. Develop & Enhance Methodologies: Strategically select data, lgorithms/models, and tools to achieve business objectives related to the integration of big data assets from set-top boxes and smart TVs into Nielsen s accredited TV audience measurement products. This role offers a unique opportunity to: Innovate in Media Measurement: Contribute to cutting-edge research and deploy advanced methodologies in the dynamic media audience measurement industry. Enhance Technical Expertise: Optimize codebases, build simulation environments and pipelines, and conduct research to improve audience measurement estimates. Develop Data Science Skills: Gain comprehensive experience across the data science workflow and product lifecycle, from methodology development and analysis to automation and scalable code development. Bridge Data Science and Business Impact: Work at the intersection of data science theory, applied statistics, and business impact, translating complex measurement methodologies into effective products that meet the needs of the media industry. The ideal candidate will have a strong desire to understand all aspects of Nielsen data, grow their technical and statistical skills, and understand our clients needs to produce methodologies that provide the best audience measurement solution available in the industry. Responsibilities Become a US TV Audience Measurement expert, focusing on data science methodologies for big data and panel integrations Conduct research and analytics to validate methodologies, identify trends, discrepancies, and opportunities for methodological improvements; troubleshoot and resolve issues Own custom analyses in response to clients inquiries, driving acceptance and adoption of Nielsen methodologies Develop reproducible data science pipelines, focusing on statistical/machine learning model development, validation, and deployment using a balance of theoretical research and practical application, ensuring methodologies are both scientifically defensible and scalable for production use Work with cross-functional, global teams to productionize, validate, refine and defend methodologies Maintain data science best practices in software development, including documentation, reproducibility, and version control Champion a team environment of continuous learning and collaborative innovation Adopt the Nielsen Way and live Nielsen s values of Inclusion, Courage and Growth Skills Bachelor s or Master s degree, or equivalent experience, in a quantitative research field (computer science, data science, statistics, mathematics, biological/physical/social sciences, etc. ) 3-5 years of professional experience in code development and research Experience processing and modeling large datasets with Python using machine learning techniques including clustering, classification, regression, anomaly detection, and simulation Strong expertise using SQL for querying and analyzing large datasets within a data lake environment Competence in using data visualization tools (Tableau, R Shiny, Plotly) to clearly and beautifully communicate data insights Familiarity with Spark, git, AWS (S3 and EC2) and Databricks Demonstrated ability to collaborate successfully with colleagues from different functional areas and geographical locations with varying technical expertise Strong problem solving and critical thinking skills Excellent English verbal and written communication skills Outstanding statistical and analytical skills Candidate should be curious, resourceful, discerning and motivated by new challenges Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

About the Role: Bilingual Contact Center Specialist at Nielsen supporting our Mexico operation. In this role, you will conduct various basic call types (some using a dialer)to panelists, respondents and other customers across the US. This may include calls to support scheduling, data collection, basic troubleshooting, action reminders, and inbound services. Your goal is to grab the attention of homes and motivate them to respond to the call purpose. This position has set guidelines with high productivity, performance, and quality requirements. This role will require a combination of in office and remote work. The majority of the time, you will be required to work in the office. Job Responsibilities & Home Office Requirements Conduct phone surveys and collect data Provide exceptional customer service Maintain confidentiality of information Meet performance and quality standards Troubleshoot basic technical issues Maintain a home office with high-speed internet (80mbps download, 10mbps upload) Work flexible hours, including evenings and weekends Qualifications Fluency in English and Spanish (written and spoken) required Experience in customer service, call centers, or similar fast-paced environments Strong communication and multitasking skills Comfort with technology Self-motivated and able to work independently Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

About the Role: Bilingual Contact Center Specialist at Nielsen supporting our Mexico operation. In this role, you will conduct various basic call types (some using a dialer)to panelists, respondents and other customers across the US. This may include calls to support scheduling, data collection, basic troubleshooting, action reminders, and inbound services. Your goal is to grab the attention of homes and motivate them to respond to the call purpose. This position has set guidelines with high productivity, performance, and quality requirements. This role will require a combination of in office and remote work. The majority of the time, you will be required to work in the office. Job Responsibilities & Home Office Requirements Conduct phone surveys and collect data Provide exceptional customer service Maintain confidentiality of information Meet performance and quality standards Troubleshoot basic technical issues Maintain a home office with high-speed internet (80mbps download, 10mbps upload) Work flexible hours, including evenings and weekends Qualifications Fluency in English and Spanish (written and spoken) Experience in customer service, call centers, or similar fast-paced environments Strong communication and multitasking skills Comfort with technology Self-motivated and able to work independently Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Ever wonder how Nielsen figured out that 127. 3 million people tuned in to watch Super Bowl LVIII? Thats what we do here. Come and join our team of professionals and together we will build a cutting-edge Television measurement system. On this specialized team, we will use a combination of technology, curiosity and culture to empower our teams and people to be successful and focused on delivering highly reliable and accurate systems. Our focus will be to develop and deliver content recognition engines used in measuring streaming video, commercials, and broadcast TV. Language requirements : GoLang, Python Technical skills: Kubernetes, Pulumi, Terraform Knowledge of specific systems : AWS S3, SQS, EC2, RDS Responsibilities The duties of this position include the development and refinement of a high-resolution content identification system used in the identification of television programs and commercials. You will be working on a scrum team with other skilled developers sharing best practices and exploring new technologies and algorithms that will advance the excellence of our measurement. You will build and maintain microservices that power the content identification services used in Television Audience Measurement. These micro services run in AWS and consume and process data using advanced algorithms that are tuned for efficiency. You will also be responsible for the efficient use of AWS resources on our projects. Critical thinking and Innovation are highly valued on this team and everyone is expected to think out of the box, bring new ideas and to challenge what we do and how we are doing it. Qualifications Bachelors degree in Computer Engineering related field (or equivalent experience). 7+ Years of experience in programming back office services. Skilled in GoLang and fluent in Python. Skilled in AWS Programming APIs for S3, SQS. Experienced in Kubernetes. Experienced in writing Infrastructure as code: Pulumi and/or Terraform. Experienced in Operating and writing Airflow DAGs. Has fundamental skills in Signal Processing - FFT, Nyquist cutoff, etc. Strong skills in Hashing data and working with large hash tables. Having past experience of working efficiently with large data sets. Strong abstract reasoning and problem solving skills. Demonstrate the ability to perform a root cause analysis Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! This role is based out of Mumbai , is a part of GCM team and will be reporting to GCM regional team leader. To leverage extensive data science expertise in driving the development and refinement of advanced analytical models that enhance Nielsens audience measurement products for clients. To build and build custom data pipeline for clients within Nielsen s proprietary audience measurement tool - NielsenOne. The role involves translating complex datasets into actionable insights, leading cross-functional projects, and contributing to the strategic direction of the analytics function. Responsibilities Drive the development of advanced analytics to improve predictive modeling and real-time insights for Nielsens data products. Craft scalable, interpretable models, employing AI and machine learning to enhance data product sophistication and solve customer problems quickly. Harness diverse datasets to engineer features that bolster predictive capabilities, optimizing Nielsens data analysis processes. Articulate complex analytics methodologies to internal and external Nielsen stakeholders, demonstrating their direct relevance to strategic audience measurement goals. Champion data-driven cultures within Nielsen, spotlighting the role of sophisticated data analysis in resolving audience measurement challenges for enhanced client impact. Direct educational initiatives at Nielsen to heighten the application of data science in audience analytics, aligning with the latest industry trends and standards. Provide expert apprenticeship to Nielsens data science team, cultivating advanced skill sets in audience measurement analytics. Lead effective cross-functional collaboration between data science and technology to advance the analytical tools and applications used in audience analytics and convert methodologies into client impact. Stay informed about the latest technology and methodology by participating in industry forums, having an active peer network. Cultivate a team environment focused on continuous learning, where innovative audience measurement methodologies are developed and refined through collaborative effort. Key Skills Possession of a Bachelor s degree, with a preference for an MS or PhD in Data Science, Computer Science, Engineering, or Statistics. At least 5 years of experience in data science roles, or a graduate degree in a quantitative discipline with a demonstrated skill set in data science and 2+ years of work experience. Experience in media industry /content management is good to have. Proven ability to merge and transform diverse internal and external datasets to create innovative features. Expertise in using machine learning for clustering, classification, regression, anomaly detection, and simulation problems, particularly with large datasets. High proficiency in Python, R, SQL, and PySpark; experience with ETL (e. g. , Airflow) and cloud-based environments (e. g. , AWS) is a plus. Familiarity with big data technologies like Hadoop, Spark, H20. ai, cloud AI platforms, and containerization; proficiency with DevOps tools. Experience in using data visualization tools such as Tableau, R Shiny, Plotly, etc. , for effective communication of complex data insights. Deeper knowledge of handling big data environments and understanding of data engineering principles. Exceptional communication and collaboration skills to understand and cater to business partner needs and work effectively in team settings. A customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs to deliver rapid customer impact. A bias for action and an ability to deliver outstanding results through effective task prioritization and time management. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Your primary objective is to ensure project goals are achieved and are aligned with business objectives. You will also work closely with your Scrum team and program team to test, develop, refine and implement quality software in production via standard Agile methodologies. You will mentor and help other team members to deliver the scrum team objectives. Responsibilities Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises. Understanding of current technologies and experience with legacy technologies. Understands when the architecture needs to change to meet requirements. Understand system test principles and best practices. Create reusable code and components for audio software development, to be utilized across various projects. Provide cloud integration development support to various project teams. Rapidly identify and resolve technical incidents as they emerge Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines. Key Skills (Domain Expertise) 4-12 years of related experience with a Bachelor s degree or equivalent work experience. Must have strong analytical and technical skills in troubleshooting and problem resolution Technical Skills 4-8 years of hands-on software development with a bachelor s degree. Experience in software development using programming languages & tools/services: . Net Programming (c#, Basic, asp. net), Java, Python, JavaScript and strong in SQL. Experience with orchestration tools: Apache Airflow or similar tools Strong knowledge on Windows, Unix/Linux OS, commands, shell scripting, python Strong experience in Java/J2EE, Spring boot/cloud frameworks Agile scrum experience in application development experience is required. Strong knowledge in SQLServer and/or Oracle Deployment and automation: CI/CD Pipeline Knowledge in Gitlab /Bitbucket . AWS Programming Certification is a plus. Ability to quickly learn vendor owned Computer Aided Telephone Interviewing (CATI). Mindset and Attributes Strong verbal and written communication skills. Strong analytical and technical skills in troubleshooting and problem resolution Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

ABOUT THIS JOB: Nielsen is the industry s most trusted data analytics solution for video content across all platforms and devices. We follow modern security practices to uphold the privacy and security of all our data and systems. We are looking for a strategic, detail-oriented individual to join our team as a security analyst. Your responsibilities will include interfacing with the business to identify and reduce risk through the support of the fusion operations center. This role will have the unique opportunity to work in both the cyber and physical security realms, so having a diverse background in law enforcement, criminal justice, and cyber security is a plus. To be successful as a security analyst, you should have excellent attention to detail as well as strong strategic planning skills. Outstanding security analysts display great communication and interpersonal skills, as well as top-notch technical skills. Nielsen provides all its employees with opportunities for education & training, including reimbursement for certification or degree programs and the chance to attend training conferences. We also provide an unlimited PTO program and advancement opportunities along a technical or managerial path of your preference. RESPONSIBILITIES: Security Systems Management: Oversee and maintain security systems including Access Control, CCTV, and Alarm systems. Incident Response: Manage incoming security alerts and requests, prioritize incidents, and lead investigations. Risk Mitigation: Identify and assess potential security threats and implement countermeasures. Policy & Procedure Development: Create, maintain, and ensure compliance with security protocols, plans, and policies. Staff Training: Train staff on security awareness, incident response, and risk mitigation. System Optimization: Design, implement, and manage security systems to protect people, facilities, and infrastructure. Data Analysis: Utilize data analysis and reporting to identify trends and improve security effectiveness. Project Management: Plan, implement, and manage security-related projects. Proficiency in Excel/Google Sheets: Demonstrated proficiency in spreadsheet software for data analysis and reporting. A LITTLE BIT ABOUT YOU: With your problem-solving abilities and deep understanding of physical security, you can help Nielsen stay on the forefront of the evolving security best practices. You are excited by the challenge of learning new technologies. You are proactive in finding and correcting issues, and in looking for ways to maximize effectiveness of existing technologies, products, and platforms. You approach challenges from new perspectives and develop effective solutions for unique problems. You appreciate the importance of operations as an enabler for incremental development and can effectively prioritize and perform work with autonomy. QUALIFICATIONS: A Bachelors degree in security, law enforcement, criminal science, or a related field. Minimum of 3-5 years experience in security. Highly skilled in Excel/Google Sheets and ability to learn other computer systems Excellent technical skills for building security architecture aligned with the businesss requirements. Great communication skills and the ability to present technical jargon in an understandable way. Excellent analytical, organizational, and decision-making skills. A highly logical, honest, and objective nature. Good teamwork and time management skills.

About the Role: We are seeking a highly motivated and versatile Platform Engineer to contribute to all facets of our Data Platform. This role encompasses both Data Engineering responsibilities, including database querying, query optimization, and ETL pipeline development, and Platform Tooling development to enhance the overall efficiency and scalability of our data infrastructure. We are looking for a candidate having good Data Engineering concepts and experience with tools such as Apache Airflow, AWS Glue, and related technologies combined with understanding and the right learning attitude of backend coding. You will play a critical role in building and maintaining a robust and performant data platform that empowers data-driven decision-making across the organization. Responsibilities: API Development Design, develop, and maintain RESTful APIs using languages such as Java, Go, NodeJS, or Python (experience with at least one required). Write clean, well-documented, and testable code. Implement authentication, authorization, and security best practices. Optimize API performance and scalability. Participate in code reviews and provide constructive feedback. Data Engineering Design, build, and maintain data pipelines for collecting, processing, and storing large datasets. Work with databases (SQL and NoSQL) to ensure data integrity and performance. Implement data quality checks and monitoring. Develop and maintain ETL (Extract, Transform, Load) processes. Explore and implement new data technologies to improve our data infrastructure. Contribute to the design and maintenance of our overall data architecture, ensuring efficient data flow between the data lake and data warehouse. Platform Maintenance & Improvement Monitor and troubleshoot production systems. Identify and resolve performance bottlenecks. Contribute to the development of platform standards and best practices. Participate in on-call rotation (if applicable). Qualifications Bachelors degree in Computer Science or a related field. Minimum of 2 years of experience in backend API development and data engineering. Proficiency in at least one of the following programming languages: Java, Go, NodeJS, or Python. Experience with RESTful API design and development. Strong understanding of data structures, algorithms, and database concepts (SQL and NoSQL). Experience with data pipeline technologies (e. g. , Apache Kafka, Apache Spark, Apache Airflow, AWS Glue). Experience with cloud platforms such as AWS, Azure, or GCP. Experience with version control systems (e. g. , Git). Experience with testing frameworks and methodologies. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience working with data lakes and data warehouses. Bonus Points Experience with containerization technologies (e. g. , Docker, Kubernetes). Experience with infrastructure-as-code tools (e. g. , Terraform, CloudFormation). Experience with monitoring and logging tools (e. g. , Prometheus, Grafana, ELK stack). Contributions to open-source projects. Experience with Agile development methodologies. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

ABOUT THIS JOB: Nielsen is the industry s most trusted data analytics solution for video content across all platforms and devices. We follow modern security practices to uphold the privacy and security of all our data and systems. Were protecting tens of thousands of endpoints across multiple cloud and on premise environments. As a Cybersecurity Architect, youll have the opportunity to work with industry leading technologies at scale to protect our products from an always evolving threat landscape. This hands-on position will be responsible for Nielsen s security architecture strategy and execution; and will collaborate with other cross-functional teams to ensure solutions are effective and in alignment with Nielsen s strategic goals. Nielsen provides all its employees with opportunities for education & training, including reimbursement for certification or degree programs and the chance to attend training conferences. We also provide an unlimited PTO program and advancement opportunities along a technical or managerial path of your preference. RESPONSIBILITIES: Develop overall security architecture strategy. Identify, develop, and maintain a consistent security reference architecture across cloud and globally distributed data centers. Research, identify, design, and implement cybersecurity technologies globally. Proactively work with other teams (cybersecurity, vendors, and product development) to ensure solutions are in alignment with Nielsen s strategic goals. Participate in definition and prioritization of work executed by other teams (network operations, cloud operations, etc. ) based on risk profiles/ threat models. Consult in project-based initiatives that are not driven by cybersecurity. Support vendor relationships for cybersecurity technologies and work with vendor support during defect root cause and corrective investigations. Identify and foster stakeholder engagement across the business in order to be successful with these responsibilities. A LITTLE BIT ABOUT YOU: With your problem-solving abilities and strong understanding of cybersecurity, you can help Nielsen stay on the forefront of the evolving cybersecurity threat landscape. You are proactive in finding and correcting issues, and in looking for ways to maximize effectiveness of existing technologies. It is important to you to stay current on technologies, vulnerabilities, exploits, and the expanding cyber-attack surface (cloud services, remote work, IoT, supply chain). You approach challenges from new perspectives and develop effective solutions for unique problems. You are able to effectively prioritize and perform work with autonomy. You look for opportunities to drive efficiency via automation and collaboration. QUALIFICATIONS: 5 years of direct network/ security experience. Hands-on experience developing architecture roadmaps aligning with enterprise architecture principles. Strong understanding of fundamental security technologies such as Firewalls, Secure Web Gateway, AV/ EDR, DLP, URL Filtering, SIEM. Knowledge of cloud computing concepts, standards and controls (AWS, GCP, Azure). Experience providing and validating security requirements related to system design, implementation and business processes. Knowledge of security industry standards (ISO, CIS, NIST, etc. ) and best practices. Ability to work both independently and as part of a team with minimal supervision. Ability to communicate technical details in a clear, understandable manner. Security certification such as SANS/GIAC, CISSP, CEH, OSCP.

Join the Nielsen One Application (N1 Apps) team as we develop the next-generation software suite that unifies all of Nielsen s offerings into one seamless experience. Leveraging cutting-edge technologies, we re on a quest for smart, innovative engineers ready to tackle complex integration tasks and introduce new technologies. At N1 Apps, collaboration is key. We thrive on growth, initiative, and innovation, nurturing an open culture that prizes learning and experimentation. Enhance your skills in our guild meetings, influence our roadmap with your architectural ideas, and collaborate cross-functionally to deliver unparalleled user experiences. We re expanding across multiple teams and are eager to connect with candidates who are ready to make an impact. If you re interested and believe you fit this dynamic role, we d love to hear from you! About the role You ll be working within an international group of teams spanning from India to Europe and the US. As a Senior Scala/Spark Engineer, you will be working alongside and guiding a team of diverse engineers, including DevOps, Data, Backend, and Front End engineers. You should be able to work independently, guide junior engineers, and possess a passion and drive for learning, suggesting, and adapting to new technologies. Key Skills Discuss the Cost of Change (= code quality) with your team members continuously. Write unit tests, integration tests, and API tests. Support the application 24/7 based on team on-call rotations. Write clean code with a focus on coupling, separation of concerns, and best practices. Spend 90% of your time writing code, emphasizing Test-driven development (TDD). Dedicate 10% of your time to learning and improving existing application architecture. Stay open to learning and adapting to new technology architectures and patterns. Possess knowledge of distributed architectures, particularly with Akka, Akka Cluster, and Akka Persistence, alongside experience using Spark with Scala. Have some hands-on experience with building and creating CI/CD pipelines. Conduct code reviews and participate in design discussions. Analyze the impact of changes on data and implement event sourcing and CQRS patterns. Have a strong understanding of functional, reactive and parallel programming. Troubleshoot and solve complex problems in production. Collaborate and coordinate with different stakeholders, including product, data science, and account managers. Diagnose AWS infrastructure issues related to the application. Implement best practices for 24/7 application monitoring, orchestration, and performance optimization. Follow Agile principles, participate in grooming and planning sessions, and effectively translate business requirements to Agile stories. Practice DevOps and SecOps for continuous incremental delivery and quality products with the guidance of senior engineers. Preferred Leadership qualities and the ability to inspire and motivate a team, mentoring junior engineers and fostering a collaborative team environment At least 1 year of experience with Test-driven development (yes, test-first!) Familiarity with CQRS, event sourcing, and Domain-Driven Design (DDD). Familiarity working with large scale enterprise Java/BigData systems using Agile, TDD & DevOps methodologies. Proven track record on delivering enterprise software solutions using Agile principles with either Scrum or Kanban.

India - Consultants/ Analytics Professionals RESPONSIBILITIES Lead with excellence Marketing Mix with our clients from the lockdown of BQs to Insights through a defined core deliverable. Ensure pro-active insights and action oriented solutions are delivered to the team by being an expert with an ability to explain methodology behind key analytics and results to clients Partner with clients to provide the best marketing plan based on the results of analysis and optimizations Develop recommendations based on the insights derived from the analysis, decks and/or scorecards to report results & provide advice, and present to client Collaborate with other Nielsen teams to provide holistic support to clients Design, execute and present analytic studies to meet clients research objectives on the fast moving media landscape Focus on collaboration and trust with all the other MMM teams and our clients and foster a culture that encourages Diversity, Inclusion and Self-development. Establish enduring client connections with senior decision makers at client by demonstrating on-going value by driving client outcome Mentor junior associates in best practices, client communication, and project execution QUALIFICATIONS Bachelor degree required, advanced degree preferred 5+ years of marketing research or analytics experience in FMCG, Finance, Technology, Automotive, etc Consultative story-telling ability to turn data into insights Experience with analyzing on-line advertising is an advantage Enjoy being hands-on with data and analysis Enthusiasm for applying statistical analysis to address business issues Comfortable working with large data sets Well-organized and detail-oriented, capable of handling several projects at a time while meeting deadlines Strong communication and presentation skills Fluent English. Experience with Nielsen, Circana and media audience data is a plus

India - Consultants/ Analytics Professionals RESPONSIBILITIES Lead with excellence Marketing Mix with our clients from the lockdown of BQs to Insights through a defined core deliverable. Ensure pro-active insights and action oriented solutions are delivered to the team by being an expert with an ability to explain methodology behind key analytics and results to clients Partner with clients to provide the best marketing plan based on the results of analysis and optimizations Develop recommendations based on the insights derived from the analysis, decks and/or scorecards to report results & provide advice, and present to client Collaborate with other Nielsen teams to provide holistic support to clients Design, execute and present analytic studies to meet clients research objectives on the fast moving media landscape Focus on collaboration and trust with all the other MMM teams and our clients and foster a culture that encourages Diversity, Inclusion and Self-development. Establish enduring client connections with senior decision makers at client by demonstrating on-going value by driving client outcome Mentor junior associates in best practices, client communication, and project execution QUALIFICATIONS Bachelor degree required, advanced degree preferred 5+ years of marketing research or analytics experience in FMCG, Finance, Technology, Automotive, etc Consultative story-telling ability to turn data into insights Experience with analyzing on-line advertising is an advantage Enjoy being hands-on with data and analysis Enthusiasm for applying statistical analysis to address business issues Comfortable working with large data sets Well-organized and detail-oriented, capable of handling several projects at a time while meeting deadlines Strong communication and presentation skills Fluent English. Experience with Nielsen, Circana and media audience data is a plus

Responsibilities Develop and execute the product strategy for tools supporting the panel lifecycle, including Salesforce and ServiceNow Lead and develop a high-performing team of product managers, designers, and program managers Champion the user experience, ensuring a seamless workflow Provide regular updates and report outs to the executive team Define and champion the overall product vision, developing a comprehensive strategy aligned with company objectives. Take direct responsibility for the financial performance of the related products Translate company objectives into actionable product initiatives, prioritizing projects based on business impact. Define and manage the global product roadmap, ensuring it reflects business goals Utilize data to track KPIs, identify trends, and inform product decisions. Work closely with cross-functional teams and communicate effectively with stakeholders. Skills: Ability to develop and execute long-term product strategies aligned with business goals. Panel management and audience measurement experience Proven ability to lead, mentor, and motivate large teams. Financial Acumen Deep understanding of product management principles and methodologies. Strong understanding of user-centered design and UX principles. Ability to analyze data, identify trends, and make data-driven decisions. Ability to work effectively with cross-functional teams. Qualifications: Bachelors degree or equivalent experience. 10+ years in product and panel management, focusing on UX and product optimization. Strong understanding of user-centered design Excellent analytical, problem-solving, communication, and leadership skills. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Join the Nielsen One Application (N1 Apps) team as we develop the next-generation software suite that unifies all of Nielsen s offerings into one seamless experience. Leveraging cutting-edge technologies, we re on a quest for smart, innovative engineers ready to tackle complex integration tasks and introduce new technologies. At N1 Apps, collaboration is key. We thrive on growth, initiative, and innovation, nurturing an open culture that prizes learning and experimentation. Enhance your skills in our guild meetings, influence our roadmap with your architectural ideas, and collaborate cross-functionally to deliver unparalleled user experiences. We re expanding across multiple teams and are eager to connect with candidates who are ready to make an impact. If you re interested and believe you fit this dynamic role, we d love to hear from you! About the role You ll be working within an international group of teams spanning from India to Europe and the US. As a Senior Scala/Spark Engineer, you will be working alongside and guiding a team of diverse engineers, including DevOps, Data, Backend, and Front End engineers. You should be able to work independently, guide junior engineers, and possess a passion and drive for learning, suggesting, and adapting to new technologies. Key Skills Discuss the Cost of Change (= code quality) with your team members continuously. Write unit tests, integration tests, and API tests. Support the application 24/7 based on team on-call rotations. Write clean code with a focus on coupling, separation of concerns, and best practices. Spend 90% of your time writing code, emphasizing Test-driven development (TDD). Dedicate 10% of your time to learning and improving existing application architecture. Stay open to learning and adapting to new technology architectures and patterns. Possess knowledge of distributed architectures, particularly with Akka, Akka Cluster, and Akka Persistence, alongside experience using Spark with Scala. Have some hands-on experience with building and creating CI/CD pipelines. Conduct code reviews and participate in design discussions. Analyze the impact of changes on data and implement event sourcing and CQRS patterns. Have a strong understanding of functional, reactive and parallel programming. Troubleshoot and solve complex problems in production. Collaborate and coordinate with different stakeholders, including product, data science, and account managers. Diagnose AWS infrastructure issues related to the application. Implement best practices for 24/7 application monitoring, orchestration, and performance optimization. Follow Agile principles, participate in grooming and planning sessions, and effectively translate business requirements to Agile stories. Practice DevOps and SecOps for continuous incremental delivery and quality products with the guidance of senior engineers. Preferred Leadership qualities and the ability to inspire and motivate a team, mentoring junior engineers and fostering a collaborative team environment At least 1 year of experience with Test-driven development (yes, test-first!) Familiarity with CQRS, event sourcing, and Domain-Driven Design (DDD). Familiarity working with large scale enterprise Java/BigData systems using Agile, TDD & DevOps methodologies. Proven track record on delivering enterprise software solutions using Agile principles with either Scrum or Kanban.

In this role, you will be working alongside data scientists and engineers within Nielsen s Marketing Effectiveness business, to build a data platform on AWS to ingest data from external sources and perform ETL tasks. The role requires you to have experience working with large datasets with complex schemas, a can-do approach towards automation, with an emphasis on the implementation of best practice cloud security principles. RESPONSIBILITIES Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability Collaborate with product and technology teams to design and validate the capabilities of the data platform Develop, implement and maintain good programming standards and practices across the ecosystem Experience building and optimizing data pipelines in a distributed environment Experience supporting and working with cross-functional teams Excellent communication skills and the ability to present complex ideas in a clear and concise manner to a variety of audiences QUALIFICATIONS 4+ years of experience programming in Python and SQL 4+ years of experience with using a broad range of AWS technologies - e. g. S3, Lambda, Glue, Athena, IAM, SQS, CloudWatch, CloudFormation 2+ years working knowledge of Apache Superset or Tableau, Spark, Hive and Hadoop Ability to implement application components without detailed guidance Proficiency working in Linux environment Experience using tools such as: Git, Gitlab and Jira The training to back your work: a master s degree, bachelor s degree, or, as we recognize there isn t one formula for success, equivalent work experience

ABOUT THIS ROLE: In this dynamic environment, where numbers reign supreme, its the delicate interplay of 1s and 0s that propels our data-driven pursuits. Software engineers at Nielsen embody the art of balancing precision with disruption, reliability with innovation. Nielsen, a tech juggernaut fueled by nearly a century of pioneering momentum, is set on revealing the future to the world and none of this would be achievable without the collaborative efforts of our talented engineers. RESPONSIBILITIES Build and optimize extensive data sets, big data pipelines, and architectures. Apply top-notch analytical skills to navigate unstructured datasets effectively. Develop processes supporting data transformation, workload management, data structures, dependencies, and metadata. Conduct root cause analyses on external and internal processes and data to uncover improvement opportunities and answer critical questions. Identify, design, and implement process enhancements, focusing on automation, usability, and scalability. Collaborate seamlessly with product and technology teams to design and validate the capabilities of the data platform. Establish and maintain high programming standards and practices across the ecosystem. Provide support and collaboration with cross-functional teams. Communicate effectively, presenting complex ideas in a clear and concise manner to diverse audiences. QUALIFICATIONS Possess 2+ years of hands-on experience with a diverse range of AWS technologies (e. g. , S3, Lambda, Glue, Athena, IAM, SQS, CloudWatch, CloudFormation). Proficient use of tools such as Git, Gitlab, and Jira. Demonstrated knowledge and proficiency (2+ years) in SQL & Python, Demonstrated knowledge and proficiency (1+ years) in technologies like Apache Superset, Tableau, Spark, Hive, Java and Hadoop. Demonstrated expertise in building and optimizing data pipelines within a distributed environment. Bonus points for experience in building Business Intelligence (BI) Tools. Back your work with either a master s degree, bachelor s degree, or equivalent work experience that showcases your prowess. Excellent communication skills, fluent English and ability to work with healthy overlap to US business hours is a must. Join us in reshaping the landscape of data possibilities, where your skills will not only be valued but will play a crucial role in defining what lies ahead. ABOUT NIELSEN We re in tune with what the world is watching, buying, and everything in between. If you can think of it, we re measuring it. We sift through the small stuff and piece together big pictures to provide a comprehensive understanding of what s happening now and what s coming next for our clients. Today s data is tomorrow s marketplace revelation. We like to be in the middle of the action. That s why you can find us at work in over 100 countries. From global industry leaders to small businesses, consumer goods to media companies, we work with them all. We re bringing in data 24/7 and the possibilities are endless. See what s next with us at Nielsen: careers. nielsen. com

Ever wonder how Nielsen figured out that 127. 3 million people tuned in to watch Super Bowl LVIII? Thats what we do here. Come and join our team of professionals and together we will build a cutting-edge Television measurement system. On this specialized team, we will use a combination of technology, curiosity and culture to empower our teams and people to be successful and focused on delivering highly reliable and accurate systems. Our focus will be to develop and deliver content recognition engines used in measuring streaming video, commercials, and broadcast TV. Language requirements : GoLang, Python Technical skills: Kubernetes, Pulumi, Terraform Knowledge of specific systems : AWS S3, SQS, EC2, RDS Responsibilities The duties of this position include the development and refinement of a high-resolution content identification system used in the identification of television programs and commercials. You will be working on a scrum team with other skilled developers sharing best practices and exploring new technologies and algorithms that will advance the excellence of our measurement. You will build and maintain microservices that power the content identification services used in Television Audience Measurement. These micro services run in AWS and consume and process data using advanced algorithms that are tuned for efficiency. You will also be responsible for the efficient use of AWS resources on our projects. Critical thinking and Innovation are highly valued on this team and everyone is expected to think out of the box, bring new ideas and to challenge what we do and how we are doing it. Qualifications Bachelors degree in Computer Engineering related field (or equivalent experience). 7+ Years of experience in programming back office services. Skilled in GoLang and fluent in Python. Skilled in AWS Programming APIs for S3, SQS. Experienced in Kubernetes. Experienced in writing Infrastructure as code: Pulumi and/or Terraform. Experienced in Operating and writing Airflow DAGs. Has fundamental skills in Signal Processing - FFT, Nyquist cutoff, etc. Strong skills in Hashing data and working with large hash tables. Having past experience of working efficiently with large data sets. Strong abstract reasoning and problem solving skills. Demonstrate the ability to perform a root cause analysis Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

In the highly competitive world of sports, its critical to use effective media and advertising strategies to communicate offerings to a mass audience. Nielsen Sports provides essential services to clients, helping them to measure, analyse, and interpret the effectiveness of their advertising and investments, and to make sound economic decisions. As part of the Global Delivery Hub Project Management team, youll build Nielsen Sports analysis used to advise clients on the exposure of their brands or platforms in media and to identify areas for improvement. Youll work closely our colleagues to understand specific clients needs and requirements and use this information to create detailed analyses, combining data from different sources in the Nielsen Sports product portfolio. In addition to your analytical and data visualisation skills, youll have excellent communication and presentation skills, and be able to turn your analysis results into compelling stories that deliver meaningful insights and added value to our clients. Youll also have the ability to collaborate with other teams within Nielsen across the world. General Skills/Competency Key skills and competencies for this role include having an analytical mindset, identifying client needs, being knowledgeable in media and sponsorship, good time management and prioritization skills, and excellent communication skills to present recommendations to different audiences. Youll also need to maintain an internal and external network, coordinate ongoing client projects, and continually expand your knowledge of client business issues and needs, Nielsen Sports products, and the media and advertising industry. Furthermore, you should be digitally literate, and a driver of automation and standardised, repeatable business processes to improve efficiency and effectiveness. With your help, we can support our clients in achieving their business growth goals, and deliver high-quality services that exceed their expectations. Roles and Responsibilities Reports to: A&V Team Leader Purpose: Design and execute data visualisation and dashboarding solutions as required across the full range of Media, Consulting and Research projects which are delivered through the hub. Specific Skills & Experience required: Excellent spoken and written communication skills in English and proven successful experience in a project management role where English is the main business language for all stakeholders for at least one year. Proven successful experience as a data visualisation designer working with analytical teams, using project management platforms and managing diverse stakeholders. High level of competence using Business Intelligence tools/platforms, e. g. Microsoft s PowerBI. Experience using a range of data visualisation and dashboarding tools. Bachelors degree or equivalent in a subject where both extensive written and verbal communication skills, design and advanced mathematical analytical skills are key. Strong understanding of the global media ecosystem, how it is measured, and how advertisers and media platforms interact. Tasks And Responsibilities: Design data visualisation solutions for the client projects managed by the rest of the delivery team. Set and maintain QC on Visualisation/Design standards for all analytical deliverables across our delivery teams. Contributing to the continuous improvement of our services and products by adopting and implementing automation of visual design elements as much as possible Overall, your role will be essential to ensuring our clients success in the sports industry. Youll have a unique opportunity to use your expertise in data visualisation to make a significant impact on our clients businesses and contribute to the growth of Nielsen Sports.

About the Role As a Software Developer you will be responsible for transforming the design and the product vision into working products and will directly influence how users will interact with the system. You will design, develop, ship, and maintain features with guidance from more experienced engineers. You will work hard to stay on top of fast changing technology and invest a lot of energy in creating a clean interface with great user experience. Responsibilities Complete individual tasks without much guidance. Deliver good quality code, test, documentation. Actively participate in code reviews and scrum activities. React well on constructive feedback. Unblock yourself or with the help of another engineer. Work closely with product managers and other stakeholders to gather requirements and translate them into technical specifications. Continuously learn and stay updated with emerging technologies and industry trends. Contribute to the overall improvement of the teams processes and practices. Added responsibilities, before you level up to the next role: You work on projects delivering whole features (Full Stack). ORBe a subject matter expert in your respective area (Frontend, Backend)You own the technical specification, collaborate with other teams to deliver. You are mostly independent. You help your colleagues through code reviews or providing constructive feedback on technical decisions. Key Skills 2+ years of experience as a front-end developer building modern JavaScript-based web applications. Experience as a Developer on a cross-functional agile team preferred. Bachelor s degree in Computer Science, MIS, or Engineering. Technical Skills Skilled in using frontend frameworks like React, Angular, and others. Skills in developing using python (django, numpy, pandas, scipy etc) is an added advantage. Expert in HTML, CSS/LESS/SCSS, JavaScript, responsive design. Proficient in native or web-to-native mobile development tools and frameworks. Strong understanding of RESTful APIs and their practical application. Ability to write effective unit, integration, and end-user automation tests. Experience with Python is an added advantage. Mindset and Attributes Strong communication skills with ability to communicate complex technical concepts and align organization on decisions. Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply. Utilizes team collaboration to create innovative solutions efficiently

Key Responsibilities: Collaborate with product, sales, and marketing teams to ensure successful product launches. Standardize, optimize and track launch processes across product lines for consistency and efficiency. Facilitate User Acceptance Testing (UAT) and collaborate with engineering teams to maintain quality standards. Establish post-launch evaluation frameworks to assess success metrics and drive continuous improvements. Optimize product offerings by supporting SKU rationalization and mapping efforts. Partner with the GTM team to enable data-driven insights on pricing, investments, and lifecycle decisions. Develop dashboards and reports that provide visibility into key trends and performance indicators. Establish governance frameworks for product and operational processes, ensuring alignment with development standards. Monitor product and engineering quality metrics to drive improvements. Implement risk management protocols to proactively identify and address operational challenges. Partner with product and customer success teams to identify automation opportunities in product workflows. Optimize development pipelines to enable faster, high-quality product releases. Develop real-time monitoring systems for product health, customer feedback, and performance trends. Maintain product health dashboards with real-time insights into performance, customer feedback, and financial data. Act as a subject matter expert for data visualization platforms, ensuring actionable insights for leadership. Qualifications & Experience: Bachelor s degree in Engineering, Computer Science, Business, or a related field; MBA preferred. 10+ years of experience in product operations/management, analytics, program management, or related roles in SaaS or technology-driven environments. Strong understanding of product development processes, agile methodologies, and cross-functional collaboration. Experience in product portfolio management and enterprise level analytics. Hands-on experience with data analysis tools such as SQL, Tableau, Power BI, or similar platforms. Ability to implement automation and AI-driven process improvements. Experience with governance frameworks, risk management, and quality assurance. Strong stakeholder management skills with the ability to work across functions and leadership levels. Analytical mindset with a passion for driving operational excellence and business impact. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Key Responsibilities: Collaborate with product, sales, and marketing teams to ensure successful product launches. Standardize, optimize and track launch processes across product lines for consistency and efficiency. Facilitate User Acceptance Testing (UAT) and collaborate with engineering teams to maintain quality standards. Establish post-launch evaluation frameworks to assess success metrics and drive continuous improvements. Optimize product offerings by supporting SKU rationalization and mapping efforts. Partner with the GTM team to enable data-driven insights on pricing, investments, and lifecycle decisions. Develop dashboards and reports that provide visibility into key trends and performance indicators. Establish governance frameworks for product and operational processes, ensuring alignment with development standards. Monitor product and engineering quality metrics to drive improvements. Implement risk management protocols to proactively identify and address operational challenges. Partner with product and customer success teams to identify automation opportunities in product workflows. Optimize development pipelines to enable faster, high-quality product releases. Develop real-time monitoring systems for product health, customer feedback, and performance trends. Maintain product health dashboards with real-time insights into performance, customer feedback, and financial data. Act as a subject matter expert for data visualization platforms, ensuring actionable insights for leadership. Qualifications & Experience: Bachelor s degree in Engineering, Computer Science, Business, or a related field; MBA preferred. 10+ years of experience in product operations/management, analytics, program management, or related roles in SaaS or technology-driven environments. Strong understanding of product development processes, agile methodologies, and cross-functional collaboration. Experience in product portfolio management and enterprise level analytics. Hands-on experience with data analysis tools such as SQL, Tableau, Power BI, or similar platforms. Ability to implement automation and AI-driven process improvements. Experience with governance frameworks, risk management, and quality assurance. Strong stakeholder management skills with the ability to work across functions and leadership levels. Analytical mindset with a passion for driving operational excellence and business impact. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Key Responsibilities: Collaborate with product, sales, and marketing teams to ensure successful product launches. Standardize, optimize and track launch processes across product lines for consistency and efficiency. Facilitate User Acceptance Testing (UAT) and collaborate with engineering teams to maintain quality standards. Establish post-launch evaluation frameworks to assess success metrics and drive continuous improvements. Optimize product offerings by supporting SKU rationalization and mapping efforts. Partner with the GTM team to enable data-driven insights on pricing, investments, and lifecycle decisions. Develop dashboards and reports that provide visibility into key trends and performance indicators. Establish governance frameworks for product and operational processes, ensuring alignment with development standards. Monitor product and engineering quality metrics to drive improvements. Implement risk management protocols to proactively identify and address operational challenges. Partner with product and customer success teams to identify automation opportunities in product workflows. Optimize development pipelines to enable faster, high-quality product releases. Develop real-time monitoring systems for product health, customer feedback, and performance trends. Maintain product health dashboards with real-time insights into performance, customer feedback, and financial data. Act as a subject matter expert for data visualization platforms, ensuring actionable insights for leadership. Qualifications & Experience: Bachelor s degree in Engineering, Computer Science, Business, or a related field; MBA preferred. 10+ years of experience in product operations/management, analytics, program management, or related roles in SaaS or technology-driven environments. Strong understanding of product development processes, agile methodologies, and cross-functional collaboration. Experience in product portfolio management and enterprise level analytics. Hands-on experience with data analysis tools such as SQL, Tableau, Power BI, or similar platforms. Ability to implement automation and AI-driven process improvements. Experience with governance frameworks, risk management, and quality assurance. Strong stakeholder management skills with the ability to work across functions and leadership levels. Analytical mindset with a passion for driving operational excellence and business impact. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Your primary objective is to ensure project goals are achieved and are aligned with business objectives. You will also work closely with your Scrum team and program team to test, develop, refine and implement quality software in production via standard Agile methodologies. You will mentor and help other team members to deliver the scrum team objectives. Responsibilities Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises. Understanding of current technologies and experience with legacy technologies. Understands when the architecture needs to change to meet requirements. Understand system test principles and best practices. Create reusable code and components for audio software development, to be utilized across various projects. Provide cloud integration development support to various project teams. Rapidly identify and resolve technical incidents as they emerge Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines. Key Skills (Domain Expertise) 4-12 years of related experience with a Bachelor s degree or equivalent work experience. Must have strong analytical and technical skills in troubleshooting and problem resolution Technical Skills 4-8 years of hands-on software development with a bachelor s degree. Experience in software development using programming languages & tools/services: . Net Programming (c#, Basic, asp. net), Java, Python, JavaScript and strong in SQL. Experience with orchestration tools: Apache Airflow or similar tools Strong knowledge on Windows, Unix/Linux OS, commands, shell scripting, python Strong experience in Java/J2EE, Spring boot/cloud frameworks Agile scrum experience in application development experience is required. Strong knowledge in SQLServer and/or Oracle Deployment and automation: CI/CD Pipeline Knowledge in Gitlab /Bitbucket . AWS Programming Certification is a plus. Ability to quickly learn vendor owned Computer Aided Telephone Interviewing (CATI). Mindset and Attributes Strong verbal and written communication skills. Strong analytical and technical skills in troubleshooting and problem resolution Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Key Responsibilities: Collaborate with product, sales, and marketing teams to ensure successful product launches. Standardize, optimize and track launch processes across product lines for consistency and efficiency. Facilitate User Acceptance Testing (UAT) and collaborate with engineering teams to maintain quality standards. Establish post-launch evaluation frameworks to assess success metrics and drive continuous improvements. Optimize product offerings by supporting SKU rationalization and mapping efforts. Partner with the GTM team to enable data-driven insights on pricing, investments, and lifecycle decisions. Develop dashboards and reports that provide visibility into key trends and performance indicators. Establish governance frameworks for product and operational processes, ensuring alignment with development standards. Monitor product and engineering quality metrics to drive improvements. Implement risk management protocols to proactively identify and address operational challenges. Partner with product and customer success teams to identify automation opportunities in product workflows. Optimize development pipelines to enable faster, high-quality product releases. Develop real-time monitoring systems for product health, customer feedback, and performance trends. Maintain product health dashboards with real-time insights into performance, customer feedback, and financial data. Act as a subject matter expert for data visualization platforms, ensuring actionable insights for leadership. Qualifications & Experience: Bachelor s degree in Engineering, Computer Science, Business, or a related field; MBA preferred. 10+ years of experience in product operations/management, analytics, program management, or related roles in SaaS or technology-driven environments. Strong understanding of product development processes, agile methodologies, and cross-functional collaboration. Experience in product portfolio management and enterprise level analytics. Hands-on experience with data analysis tools such as SQL, Tableau, Power BI, or similar platforms. Ability to implement automation and AI-driven process improvements. Experience with governance frameworks, risk management, and quality assurance. Strong stakeholder management skills with the ability to work across functions and leadership levels. Analytical mindset with a passion for driving operational excellence and business impact. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Responsibilities Stakeholder Engagement : Build and maintain strong relationships with key stakeholders, including business leaders, sales, HR, finance, legal, IT teams, and systems owners, with the goal of identifying and prioritizing business goals. See the Network section for additional details about the set of stakeholders to engage. Data Architecture and Modeling : Take full ownership of the data architecture, designing and developing robust data models for diverse datasets. This includes crafting a Reference Data Enterprise Data Model and a Knowledge Graph platform, pivotal for integrating data across the organization. System Documentation and Visualization: Clearly document and visualize existing and newly designed systems, ensuring maintainability and knowledge transfer. This involves creating comprehensive documentation and visual representations of data flows, system architectures, and data models. Data Process Optimization and Modernization: Streamline and optimize data processes across all product lines, encompassing data creation, preparation, and delivery. Technical Leadership: Stay abreast of the latest advancements in data architecture, including emerging technologies, trends, and best practices. Provide technical guidance and mentorship to cross-functional data management staff, fostering their professional development. Data Governance and Standards: Contribute to the development and implementation of robust data governance policies and standards, ensuring data quality, security, and compliance. Tool Evaluation and Selection: Participate in the evaluation and selection of appropriate data management tools and technologies, aligning them with the organizations needs and strategic objectives. Continuous Improvement: Monitor the effectiveness of Data Architecture initiatives and identify areas for improvement. Stay up-to-date with industry best practices. Integration with Existing Systems: Ensure seamless integration of optimized processes with existing ERP, CRM, and HR systems. Stakeholder Management: employ techniques to ensure stakeholders needs and expectations are understood and managed; potential conflicts or issues are identified and addressed early on; and build trust and foster collaboration for mutually beneficial outcomes. Prioritization: evaluate the relative value of BPM and EA initiatives by evaluating against a set of developed criteria; and ensuring that potential conflicts in priorities with stakeholder groups are discussed, evaluated and agreed collaboratively. Measurement Leadership: Curious, Collaborative, Inclusive, Proactive, Accountable, Committed Financial: Global COE and Internal Control metrics, Internal and External Audit observations, Adherence to closing deadlines Values: Open, Connected, Useful, Personal Education & Training Technical Expertise: Bachelors degree in Computer Science, Information Systems, or a related field. Industry Experience: While this role is applicable across various industries, experience in the media and entertainment sector is highly desirable. Experience with data management in a global context is a plus. Desirable Certifications: Professional certifications in data architecture (e. g. , AWS Certified Solutions Architect, Google Cloud Certified Professional Data Architect) and data management (e. g. , CDMP) are highly desirable. Communication Skills: Excellent communication skills in English are mandatory, with fluency in local languages relevant to Nielsens global operations being a plus. Experience Excellent communication, collaboration, and leadership skills. Ability to work effectively with cross-functional teams and influence stakeholders. High levels of energy, conscientiousness, rapport building, resiliency, inventiveness, and curiosity. Data Architecture Experience: 8+ years of experience in data architecture, data warehousing, or data engineering, with a strong focus on designing and implementing enterprise-scale data solutions. Leadership and Collaboration: 3+ years of experience in a leadership role, mentoring and guiding technical teams. Demonstrated ability to collaborate effectively with diverse stakeholders, including business units, technical teams, and external partners. Strategic Thinking: Proven ability to think strategically about data architecture, aligning data solutions with business objectives and industry best practices. Data Modeling Expertise: Extensive experience with data modeling, including conceptual, logical, and physical data models. Proficiency in various data modeling techniques and notations. Data Integration and Migration: Experience with data integration and migration projects, including designing and implementing ETL (Extract, Transform, Load) processes. Cloud Experience: Experience with cloud-based data platforms (e. g. , AWS, Azure, GCP) and data warehousing solutions. Strong project management skills, with experience in leading complex transformation projects. Experience in change management and user training for systems implementations. Excellent communication and stakeholder management skills, with the ability to bridge the gap between business and IT. Experience in working with global teams and managing diverse stakeholder groups. Experience in a regulated industry is a plus. Ability to evaluate and manage relationships with technology vendors, including understanding contractual terms, service-level agreements (SLAs), and negotiation skills. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.