Job Summary Processing advertising data from various Australian media outlets, coding all required advertisements into the Nielsen database. Responsibilities Analysing advertisements from multiple media types and attaching complex metadata in a timely and accurate manner. Adding key data points to specific advertisements such as price points, consumer offers, brand and product. Maintain data entry requirements by following data program techniques and procedures. Processing and delivering all required data to daily, strict client deadlines. Processing data in accordance with accuracy and on time KPIs. Maintain the integrity of the operations department by following company policies and procedures; notifying the manager of any issues that may harm the collection of accurate data. Assisting in other areas of the operations department as required Fulfilling any other tasks as requested by the manager Competencies A high level of analytical skills A thorough understanding of data entry Excellent spoken and written English language skills Ability to work to schedules and tight deadlines. Commitment to excellence and attention to detail Ability to work without direct supervision and as part of a team Media background, either professionally or academically, is desirable Knowledge of Google suite of applications is desirable Working hours This is a full time position working a five day week on a seven day rotating roster. Working hours are 3am-12pm IST.

Description: The Third-Party Risk Management (TPRM) Sr. Analyst will coordinate with IT stakeholders, project managers, and business owners to facilitate vendor risk assessments and assist with the negotiation of cybersecurity requirements in third party contracts. This role will be responsible for collaborating with vendors for responses to TPRM vendor assessments, perform third-party risk assessments in a timely manner, and facilitate the risk sign-off in accordance with an established set of processes. Key Responsibilities: Follow the established procedures for assessing cybersecurity risks of a third party. Evaluate third party maturity using ISO, the Cybersecurity Maturity Model Certification, NIST, GDPR and other industry framework standards and best practices. Evaluate compliance to key control requirements. Ensure required risk management activities and control weaknesses are identified prior to contract execution with third party provider, or appropriate risk acceptance is documented and approved in third-party risk platform. Monitor closure of issues, risks identified, risk decision and mitigation plans per issues management process. Perform periodic, ongoing risk assessments of vendors. Ensure third party contracts and agreements include appropriate cybersecurity terms. Refine and mature TPRM processes over time, in conjunction with Management. Preferred Experience: Have 3 or more years of experience in TPRM, risk assessments, and/or internal IT control testing/ IT audits. Have working knowledge of information security and risk frameworks/standards (i. e. ISO 27001/2, NIST 800-53, NIST CSF, SOC1/SOC2, CSA CCM and Shared Assessments SIG) and cloud security practices. Possess strong communication skills (both written and verbal). Possess strong interpersonal skills and can adapt information based on the audience. Be able to handle confidential information in a professional manner. Have the ability to recognize and communicate potential control related issues in a timely manner. Be a strong team player and able to work effectively with colleagues and management. Be highly organized and self-reliant, with the ability to multi-task. Have excellent process and time management skills. Able to appropriately identify issues and raise them to management by paying close attention to detail. Have the ability to listen effectively and communicate with honesty. Be able to acquire and evaluate data.

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 Engineer 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 our end-to-end endpoint security controls and collaborate with other cross-functional teams to ensure central cybersecurity 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: Design, build, configure and maintain internal cybersecurity data loss prevention (DLP) technology and processes. Provide cybersecurity guidance on the strategy and implementation of DLP. Develop scripts and automation for complex DLP workflows and integrations. Optimize DLP system performance and tuning policies for efficiency and accuracy. Contribute to automation to facilitate deployment and configuration of cybersecurity technology both on-prem and in the cloud. Development of architecture diagrams and documentation for Nielsen s DLP controls and processes. Remain current on cybersecurity technology, vulnerabilities, attacks, and countermeasures. Discover opportunities and implement automation to drive efficiencies across technologies and processes within the cybersecurity organization. Review performance, availability, and capacity metrics of internally and externally hosted technologies and service components to compare with service agreements. Troubleshoot escalated cybersecurity technology problems. Plan, implement, manage, monitor, and upgrade cybersecurity measures to protect enterprise data and infrastructure. A LITTLE BIT ABOUT YOU: With your problem-solving abilities and deep understanding of cybersecurity, you can help Nielsen stay on the forefront of the evolving cybersecurity threat landscape. 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. It is important to you to stay current on 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 appreciate the importance of operations as an enabler for incremental development and can effectively prioritize and perform work with autonomy. You look for opportunities to drive efficiency via automation and collaboration. QUALIFICATIONS: Experience implementing and managing DLP (Data Loss Prevention) systems: including data classification, SaaS API protection, secure web gateway (SWG), and web browser controls. Expertise in data classification methodologies and implementation. Scripting/ automation experience (Python, Shell, Bash, Ansible). Knowledge of cloud computing standards and controls (AWS, GCP, Azure). Experience leading projects from start to finish. Ability to work both independently and as part of a team with minimal supervision. Ability to communicate technical details in a clear, understandable manner. Experience providing and validating security requirements related to information system design, implementation and business processes. Knowledge of common information security standards, such as: ISO, CIS, NIST. Security certification such as SANS/GIAC, CISSP, CEH, OSCP

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.

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 us: Gracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. Our advanced entertainment metadata and connected IDs enable seamless content navigation and discovery, helping consumers connect to the content they love and explore new favorites. With a global presence, Gracenote delivers both global and localized video, audio, automotive & sports content solutions across the Americas, Asia-Pacific, Europe, the Middle East, and Africa. Some of the biggest names who trust Gracenote are Jio, Amazon, NBC, BMW, Mercedes-Benz, Samsung, Sony etc. We are seeking a highly skilled and experienced Engineering manager to join our innovative team. The ideal candidate will bring deep expertise in designing and implementing scalable, high-performance systems, particularly in the domains of media data processing, web crawling, and metadata curation and serving. This role involves technical leadership, people management, engineering and operational excellence and collaboration across teams to deliver impactful solutions to media companies and other stakeholders. What is in it for you ? We are setting ourselves to modernise the metadata processing pipelines through platformization and build intelligent solutions using data science for Video, Audio, Automotive and Sports. Be part of high impact and visibility projects which are going to be key revenue drivers for Gracenote. Contribute to the next-gen metadata platforms which combine technology, data science and innovation. Key Responsibilities : They are responsible for building high-performing agile teams They set the direction for the team and support people in their career growth. They are responsible for talent segregation and succession planning Provide technical leadership to identify and define the right component/system abstractions/capabilities for current/future product/platform tasks Drive strategy and vision in collaboration with Product Build scalable and reliable technology solutions at a rapid pace One of the key responsibilities of an EM is to understand business goals and contribute to product strategy and take accountability for moving key business metrics They are also responsible for driving execution using Agile methodologies by removing impediments along the way with the big picture in mind Required Skills and Expertise: Strong expertise in one or more programming languages such as Java, Python, Golang Experience with databases like Postgres, MySQL, MongoDB, Cassandra, and caching layers such as Redis or Memcached. Expertise in designing and implementing diverse data delivery solutions, including real-time streaming architectures, efficient batch processing systems, and robust API delivery mechanisms. Proficiency in building RESTful APIs and working with GraphQL to serve metadata efficiently. Knowledge of cloud ecosystems (AWS, Azure, GCP) and cloud-native architectures for scalable deployments. Exposure to NFR concepts like availability, recoverability, performance & scalability. Exposure to different design & architecture patterns. Demonstrated ability to design distributed systems with high availability and fault tolerance. Understanding of software development methodologies (Agile, Scrum, etc. ). Web Crawling: experience with web crawling frameworks such as Apache Nutch, Scrapy, or custom crawlers using Java/JavaScript. Experience with big data frameworks like Apache Spark, Hadoop, or Flink for processing and transforming large-scale datasets. Expertise in designing systems for curated metadata storage, search, and delivery using relational and NoSQL databases. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of software development experience, including 2+ years in people management role Strong understanding of algorithms, data structures, and system design principles. Experience in delivering end-to-end solutions for web crawling, data processing, and metadata curation. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication skills with the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications: Experience in using GenAI tools for code creation, video and voice data processing. Experience with Natural Language Processing (NLP) and Machine Learning (ML) techniques to analyze and extract insights from large-scale datasets Understanding of security best practices for data protection and system integrity.

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.

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.

We are looking for a senior Android developer with 6+ years of experience, responsible for the development and maintenance of digital SDK integrated in publisher apps aimed at a range of Android devices including mobile phones, tablets and TVs. Your primary focus will be development of Android sdk features for audience measurement and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, advanced design, and the creation of quality products is essential. Roles and Responsibilities: Design and build sdk(library project) features and in-house sample apps for the Android platform Ensure the performance, quality, and responsiveness of the sdk Collaborate with a team to define, design, and ship new features Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automation Self-motivated with strong problem-solving skills Passionate about writing clean, well organized, and production-ready code Skills Proficient with Java and Kotlin (minimum 5 years Java/J2EE + 1 year Kotlin experience is must) Experience of working with Android framework, third-party libraries, and APIs Experience with offline storage, threading, and performance tuning Understanding of Android Design principles and interface guidelines Strong troubleshooting and debugging skills to investigate crashes in production Experience with performance and memory tuning with tools such as profiler Knack for benchmarking and optimization Proficient understanding of code versioning tools Gitlab and Github Familiarity with continuous integration with Jenkins Experience using dependencies managers like Gradle and Maven Experience with native player components is preferred Solid understanding of the Agile/SCRUM SDLC using ALM tools such as JIRA Ability to understand business requirements and translate them into technical requirements 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.

Responsibilities Stakeholder Engagement: Build and maintain strong relationships with key stakeholders, including business leaders, sales, finance, customer service, IT teams, and data stewards, with the goal of identifying and prioritizing business goals. See the Network section for additional details about the set of stakeholders to engage with. Translate Business Needs: Work directly with business stakeholders to understand their needs (including those related to SOM, CC, CI, CM, RAR, and FI-CA) and translate them into clear, concise technical specifications. This includes documenting functional requirements, user stories, and process flows using Business Process Mapping techniques. Solution Design & Architecture: Deep OTC process understanding, including Sales Order Management (SOM), Credit Control (CC), Chargebacks/Invoicing (CI), and Collections Management (CM); system integration design (ERP of SAP S/4HANA, CRM, e-commerce, etc. ); Revenue Accounting and Reporting (RAR) and FI-CA (Financial Accounting and Contract Accounting) integration; technology evaluation and recommendation (ABAP, Java considerations); architecture blueprint development, incorporating Business Process Mapping. Explain Technical Solutions: Communicate complex technical details (including SAP S/4HANA, ABAP, and Java aspects) to business stakeholders in an understandable way, focusing on business value. Articulate the benefits, limitations, and impact of proposed solutions. Bridge the Communication Gap: Act as an "interpreter" between business and technical teams, facilitating meetings and discussions to ensure clear communication and minimize misunderstandings. Manage Expectations: Communicate the feasibility and timelines of technical solutions (including development efforts in ABAP and Java) to the business, and convey business priorities to the technical team, preventing unrealistic expectations and keeping projects on track. Facilitate Collaboration: Foster a collaborative environment, encouraging open communication, knowledge sharing, and joint problem-solving between business and technical teams. Ensure Alignment: Act as the guardian of business requirements, ensuring that the technical team delivers solutions (including configurations and custom development in SAP S/4HANA) that solve business problems and are aligned with overall objectives. This includes validating solutions against the original requirements. This also involves ensuring alignment with the overall Solution Architecture. Drive Automation: Identify opportunities for automation, in particular using AI, within the OTC process, leveraging SAP S/4HANA functionalities and potentially incorporating ABAP or Java development for custom solutions. Business Process Analysis: Understand OTC business processes and requirements related to SAP, CRM and associated solutions by engaging with business partners and SAP practitioners at enterprise level. Conduct comparative research and recommend strategies with regards to SAP and CRM technologies to propose and implement solutions for business needs. Implementation & Project Management: Project leadership; requirements gathering and translation into technical specs; system configuration and customization oversight (ABAP, Java development management); testing and quality assurance; Change Management (CM) processes. Process Optimization & Improvement: OTC process analysis, including RAR and FI-CA impacts; automation initiatives leveraging SAP S/4HANA capabilities; best practice implementation; performance monitoring (KPIs). Continuous Learning & Development: Staying current with industry trends (automation, AI, etc. ), SAP S/4HANA updates, ABAP/Java advancements; knowledge sharing; professional development. Testing Strategy Development: Develop a testing strategy for the OTC end-to-end solution, including unit testing, integration testing, user acceptance testing, and potentially performance testing. Define test cases, test data, and acceptance criteria. Training and Education: Develop training materials and conduct sessions for end-users and support teams on new Finance processes and system functionality. Operating Model for OTC systems: Create and implement a comprehensive operating model, defining roles, responsibilities, processes, and metrics to ensure effective systems management that aligns with the strategy. Prioritization: evaluate the relative value of finance systems 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. Data Quality Management: Collaborate with the Data Governance and Data Management teams as they define and monitor data quality metrics, identify and address data quality issues, and implement data cleansing and enrichment initiatives. Data Security and Privacy: Collaborate with the Privacy team to ensure compliance with data security and privacy regulations (e. g. , GDPR, CCPA), implement data access controls, and protect sensitive data. Change and Release Management: Lead OTC systems change and Release management initiatives, promoting awareness and adoption across the relevant teams in the organization Education & Training Bachelors degree in Computer Science, Finance, Accounting, or a related field. This role is applicable across various industries, but experience in regulated industries (e. g. , finance, healthcare) is a plus. Professional certifications in Finance (e. g. , CPA, CFA) or SAP (e. g. , SAP Certified Application Associate - Financials in SAP S/4HANA) are highly desirable. Fluency in English and local language mandatory 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. 15+ years of experience in Finance, with a strong focus on financial systems and processes. 5+ years of experience in a leadership role, managing and mentoring teams. Functional and technical strategic thought leadership. Hands on experience with complex and large-scale SAP project implementations. Proven experience in end to end implementation, Roll outs , Upgrades , and managing SAP BRIM modules (SOM, CC, CI, CM, RAR, FI-CA) and ABAP. Ability to see our SAP portfolio with both a deep and broad perspective. Expert knowledge in all aspects of designing, developing, consulting, leading and managing broader SAP and related ecosystem initiatives. Knowledge of required SAP localizations for the geographies where GMI hasbusiness operation (NA , Europe, Latam , Asian countries). Experience with SAP S/4HANA migration and optimization projects. Strong project management skills, with experience in leading complex Finance transformation projects. Experience in change management and user training for Finance 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.

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.

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.

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

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.

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