61 Analytics Data Jobs

Objectives of this role Develop custom python libraries and data structures for data processing should be able to create data ingestion, curation and validation pipeline for AI model data fine tuning Keep current with technical and industry developments Responsibilities Serve as lead developer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products Develop libraries in python, spark, or other equivalent programming languages Should have hands on experience in data modeling, processing, and categorization of data Execute analytical experiments to help solve problems Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Required skills and qualifications 5 or more years of experience in Python, big data analytics or AI/Gen AI development projects Proficiency with data mining, mathematics, and statistical analysis Good knowledge of AI based python libraries and usage. Should possess hands on experience in AI/Gen AI based development projects Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Power BI /any reporting tools , SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group

Scale an existing RAG code base for a production grade AI application RequirementsProficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Pyspark, SQL, Python About The Role Classical ML Model (either machine learning or deep learning) building experience with feature creation (not PoC experience)" Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Scale an existing RAG code base for a production grade AI application RequirementsProficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Pyspark, SQL, Python About The Role Classical ML Model (either machine learning or deep learning) building experience with feature creation (not PoC experience)" Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

As a Quality Analyst, you will participate in QA for sprint releases, contribute to the requirement-analysis process, and follow STLC for a range of purpose-driven eCommerce brands. You will be responsible for testing all aspects of software, both technically and functionally, to deliver a quality product. This will be done for both early-stage brands and brands serving close to a million consumers. Quality Analysts at CueForGood hold keen attention to detail with strong analytical and problem-solving skills to ensure proper and efficient working of digital products. What will you be doing Implement and monitor test scripts to assess functionality, reliability, performance, and quality of the service or product. Identify and remedy defects within the production process. Create test scripts for automation. (Preferred Tools - Selenium & JMeter). Interact with the development team and clients for understanding and troubleshooting issues. Write about, present, and share your learnings and work internally and with the wider community via blogs, guides, and social channels. What skills and experience do you need Meticulous exposure in the field of Manual Testing with solid experience in the eCommerce domain. Strong understanding of SDLC (Software Development Life Cycle). Minimum 2 years of experience on all aspects of testing like Smoke, Sanity, Unit, Integration, Regression, Load, and Performance testing. Proficiency in using defect management systems like Mantis. Exhibited skills in requirement analysis along with clear and complete report creation. Practical understanding of Google Analytics data, SQL, and Scripting Language (preferable). Demonstrated knowledge of best practices in QA and experience in agile software development processes. Genuine care for the vision and business of clients, with a desire to improve processes and a balanced sense of optimism and humility.

Proficient in capital markets analytics and statistical modeling. Experienced in Tableau and Power BI for building dashboards and data visualizations. Skilled in SQL, Databricks, R, and Python for analytical problem-solving. Strong understanding of leasing, financial, and market trend analysis with a focus on delivering actionable insights to stakeholders. Expertise in collaborating with business teams to develop analytical solutions, perform predictive modeling, and ensure continuous learning of emerging tools and methods. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedbad, Pan India

Experience: Minimum of 10-12 years. Data Collection and Processing o Gather data from various sources, including databases, APIs, and external datasets. o Clean and preprocess data to ensure quality and consistency. Data Analysis o Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights. o Use statistical techniques to analyze data and validate findings. Model Building o Develop predictive models using machine learning algorithms. o Train and fine-tune models to improve accuracy and performance. Skillset Python Spark Efficient data manipulation Tree based and NN based model training with large data Experience with OCR, layout model File parsing with various file types LLM, RAG Experience with using REST API

This Data Analyst role involves collaborating with business groups and data teams to understand challenges, design data models, to implement data solutions using SQL, Snowflake, and Oracle. Responsibilities include requirements gathering, data validation automation, root cause analysis, and working in Agile environments with tools like JIRA. Candidates should have a bachelor's degree, over five years of data-related experience, strong SQL skills, knowledge of data warehousing, and familiarity with visualization tools such as Power BI and MicroStrategy, with additional skills in Python and CRM systems considered a plus. Job duties: Partner with GAS and SIM business group to understand business concepts, challenges, and problems. Work closely with data warehouse team on table design and model changes that are required to facilitate BI solutions. Requirements gathering and documentation such as creating data mapping documents for end-to-end data solutions. Understand changes and impacts of data transformations as data moves through multiple systems (source to multiple target systems) Creating test plans include test cases, perform data validation. Automate data validation in Snowflake/AWS platform. Responsible for understanding the underlying data structures, data sources and ETL/data pipelines. Work with Global with business clients and FTT development teams in a collaborative format using Agile methodologies. Perform root cause analysis on data related issues impacting data quality.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Senior Data Analytics Specialist - we are looking for individuals with strong experience in Power BI and Tableau OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Design and create interactive dashboards to effectively communicate data insights to stakeholders. Gather and extract data from various databases, Excel, and other relevant sources to support BI reporting and analysis. Engage with stakeholders to understand their reporting needs and define key performance indicators (KPIs) and ensure alignment with business objectives. Coordinate with various stakeholders to understand the data structure, collect, clean, transform, validate, and visualize datasets, ensuring the integrity of our data flows Develop data models to identify relationships and trends within the data, enhancing the understanding of business performance. Perform analysis in SQL and Python to derive actionable insights and support data-driven decision-making. Maintain and optimize existing BI reports and dashboards, ensuring accuracy and relevance of the information presented. Manage the design, development, and delivery of self-service data infrastructure Identify and manage dependencies and risks across various analytics datasets and models Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Overall experience of 2+ years in business intelligence tools such as Power BI, Tableau. Excellent analytical and problem-solving skills with proven ability to deliver actionable insights and proficiency in data modelling and visualization skills. Proven experience with data automation, creating dashboards in Power BI and Tableau and analytical models. Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external) Fast learner with ability to learn and pick up a new tool/ platform quickly Advanced skills in MS-office, along with familiarity with Gen AI and other analytical tools preferred Experience in data analytics tools such as SQL and python is preferred Willingness to travel as required to meet client needs. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementationProof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Eurofins is a leading provider of assurance and inspection services, covering a broad spectrum of sustainable supply chain practices, including the circular economy. Eurofins helps the customers to identify and mitigate risks in their supply chain and to ensure the benchmarking performance with operations, processes, systems, people, or capabilities. We hold accreditations for various industry standards and memberships, ensuring comprehensive service throughout the supply chain. Whether you are in the food, consumer products, healthcare, or cosmetics industries, we offer a full range of services including product inspection, auditing, certification, training, and consultation. Eurofins Assurance helps you mitigate compliance risks, enhance quality, and prevent safety failures early on, safeguarding your business from brand damage, product recalls, and other potential issues in the future. Sustain your business growth and commitment with Eurofins Assurance, a global network of assurance experts that you can trust. About The Role Analyzing and defining business problems along with an understanding of the technology landscape. Identifying, and defining business goals, KPIs and designing workflows. Proficient in creating business/ project documents (BRD, FRD/FSD, Logic Doc, etc.). Experience in project management tools like Jira/ Confluence/ Azure DevOps etc. including familiarity with the end-to-end lifecycle of a project. Good to have the ability of understanding & responding to RFPs, and creation of business cases (open in terms of functional/ domain knowledge) Strong technology acumen, and exposure to data analysis tools (Advanced Excel/ SQL/ Power BI). Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment. Basic understanding of key technology trends like Data analytics, Cloud tech (AWS, MS Azure, etc.), and business cases around it. Good to have knowledge of data transformation, mapping, and operations. Strong familiarity with People Analytics data and technology architecture from data source to ingestion, transformation, and visualization Qualifications Bachelors degree in appropriate discipline. Additional Information Hands-on Experience with Data Analytics Tools (Such as SQL, Tableau, Advanced Excel Microsoft Power BI, or similar)

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. : As a Sr Media Analyst, you will execute marketing programs across a variety of brands and businesses. Identifying and understanding target audiences. Determining the most effectivemediamix to display ads. Coordinating, monitoring and evaluatingmedia campaigns andstrategies will be the primary focus. The main job of a Sr Media Analyst is to build strongrelationshipswith clients and provide strategies and innovative ideas for their media; they work closely with top executives and assist junior-level staff with special projects. Should have consistently demonstrated deep media knowledge and developed strong, strategic deliverables. They are strategic thinkers that consistent elevate their work and build award worthy plans. Integrated Planning professional should have shown the ability to successfully train, mentor, and earn the respect of junior team members. They have built strong cross-functional relationships and earned the trust of their colleagues by consistently delivering top tier work. Individuals in this role oversee all aspects in the planning process, working in close collaboration with their team members to meet and exceeding expectations. Team members also need to understand optimization and to be able to actively manage campaign optimization and performance management They can autonomously participate in external discussions, and able to accurately discuss plans and reporting. Individuals may be called upon to oversee a variety of accounts. Individuals in this role may be expected to support various new business initiatives and client on boarding with limited oversight They foster an environment of collaboration, and open communication. Working at both the account and brand level to implement and activate digital media campaignsinclusive of building segments, forecasting and booking media placements, building media recommendations and assist in crafting insights based on media campaign performance. You will provide a high level of customer service to collaborate teams/clients with effective communication, timely responses to requests, and proactive resolution of potential issues. With support and guidance from your leader you will build various client or sales deliverables, such as proposals, media approaches, and audience strategies. Be required to work during US Day time (CST) for certain period in the year You will be tasked with this position reports to the Media Manager Roundel media. This is a fantastic opportunity to join an amazing team that was awarded 2017 Digital Marketer of the Year and further your digital media career.Job duties may change at any time due to business needs. About You Minimum of Bachelor's degree or higher in marketing, economics, or technical specialty Minimum 8-10 years of experience preference in digital marketing, including media planning, programmatic optimization across digital and social channels. Team player and keen to share knowledge with the peers, contributes/respects own ideas and those of others equally. Solid understanding of the omni channel paid media practices to create a cohesive, customized programs for the customer. Experience with media planning and forecasting across an entire digital media program. Ability to manage multiple responsibilities in a fast-paced environment. Previous experience managing large media accounts at a paid media agency. Passionate about media, data, analytics and technology. Experience in understanding & performing advanced analytics on digital data sources (e.g., digital analytics data, digital advertising data, DMP data, audience data, social data, search data, etc.) Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As the Operations Manager, VP at DWS in Pune, India, you will have the opportunity to lead ambitious initiatives and shape the future of investing in the rapidly changing markets. You will be part of an industry-leading firm with a global presence, supporting clients, local communities, and the environment. DWS is looking for creative thinkers and innovators to join the team and seize the opportunities of tomorrow. Investors for a new now, we are committed to finding investment solutions for our clients" financial future while providing you with the support and platform to develop new skills and work alongside industry thought leaders. In this role, you will be responsible for leading operations at both the site level in Pune and engaging with DWS senior leadership from the US and India. Your key responsibilities will include managing the quality, integrity, and validity of security reference, pricing, and analytics data for DWS. You will work closely with various teams to address data quality issues, maintain Security Master data, and ensure best practices are followed. Additionally, you will provide technical advice and support to internal stakeholders, identify and resolve data quality issues, and drive continuous improvements within the organization and with vendors. To excel in this role, you will need a Bachelor's degree and at least 10 years of experience in the financial industry. You should have a strong understanding of Security Master data set-ups, experience with Bloomberg and Reuters, and knowledge of maintaining data quality with current market standards. Excellent communication skills, attention to detail, and the ability to prioritize tasks are essential. You should also demonstrate a commitment to continuous learning, take ownership of tasks, and build strong relationships both internally and externally. At DWS, you will receive training and development opportunities, coaching from experts in your team, and a culture of continuous learning to support your career progression. We strive for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. Together, we celebrate the successes of our people and work towards excellence every day as part of the Deutsche Bank Group. We welcome applications from all individuals and promote a positive, fair, and inclusive work environment.,

Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisionsand were looking for someone who shares that belief. As a Data Scientist Digital Insights, youll join a dynamic team thats shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies.This opportunity empowers you to work with the latest trends in technologyfrom web traffic intelligence and data visualization to foundational applications of large language models (LLMs). Youll play a key role in transforming digital signals into actionable insights that influence business outcomes.Were proud to be recognized by Great Place to Work India as one of the countrys top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 13 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelors or masters degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PMHybrid Work ModelWork from Office Twice a week #LI-SS3 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

1- Business expansion strategy leveraging enriched data of locations to identify profitable locations 2- Optimize health claims through optimizing on claims process leveraging data and analytics 3- NPS improvement using customer loyalty program as well as claims settlement data and analytics 4- Identification of fraud/nexus using claims optimization and fraud prevention strategy

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Senior Data Analytics Specialist - we are looking for individuals with strong experience in Power BI and Tableau OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Design and create interactive dashboards to effectively communicate data insights to stakeholders. Gather and extract data from various databases, Excel, and other relevant sources to support BI reporting and analysis. Engage with stakeholders to understand their reporting needs and define key performance indicators (KPIs) and ensure alignment with business objectives. Coordinate with various stakeholders to understand the data structure, collect, clean, transform, validate, and visualize datasets, ensuring the integrity of our data flows Develop data models to identify relationships and trends within the data, enhancing the understanding of business performance. Perform analysis in SQL and Python to derive actionable insights and support data-driven decision-making. Maintain and optimize existing BI reports and dashboards, ensuring accuracy and relevance of the information presented. Manage the design, development, and delivery of self-service data infrastructure Identify and manage dependencies and risks across various analytics datasets and models Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Overall experience of 2+ years in business intelligence tools such as Power BI, Tableau. Excellent analytical and problem-solving skills with proven ability to deliver actionable insights and proficiency in data modelling and visualization skills. Proven experience with data automation, creating dashboards in Power BI and Tableau and analytical models. Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external) Fast learner with ability to learn and pick up a new tool/ platform quickly Advanced skills in MS-office, along with familiarity with Gen AI and other analytical tools preferred Experience in data analytics tools such as SQL and python is preferred Willingness to travel as required to meet client needs. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

A Chief Data Officer (CDO) is responsible for developing and executing an organizational data strategy. Key highlights of the role are listed below (purely indicative and not limiting): Enterprise Data Strategy & Governance Develop and lead the enterprise-wide data strategy in alignment with business priorities and long-term digital goals. Define a prioritization framework to drive cross-functional data initiatives across the organization. Collaborate with business units to identify data needs and translate them into strategic data initiatives. Establish robust data governance frameworks, policies, and standards to ensure data quality, integrity, and accessibility. Data Privacy, Protection & Compliance Collaborate with the CISO, Legal, Compliance, and Risk teams to ensure adherence to data protection and privacy regulations (RBI, SEBI, DPDP, etc.). Lead the organizations data privacy program, including policy development and breach response protocols. Oversee accurate and timely regulatory reporting based on validated and compliant data sources. Data Architecture & Management Build and manage the data architecture and infrastructure, including data lakes, warehouses, and master data systems, GEP Ensure secure, scalable, and efficient data storage, access, and sharing across the enterprise. Monitor and enforce compliance with internal data policies and external regulatory requirements. Analytics, BI & Advanced Use Cases Drive adoption of advanced analytics (AI/ML) across customer lifecycle acquisition, credit underwriting, collections, fraud, and portfolio management. Enable real-time dashboards and business intelligence reporting for operational and strategic decision-making. Promote the use of analytics for customer segmentation, CLTV, and personalized engagement strategies. Build scalable data architecture including data lakes, data warehouses, and a unified Single Customer View (SCV). Vendor & Third-Party Data Management Partner with CIO for data architecture modernization and API integration across partners (AUA/KUA, credit bureaus), etc. Periodically evaluate vendor platforms for data lineage, encryption, and audit capabilities. Cross-Functional Collaboration & Advisory Act as a strategic advisor to business units on data-driven initiatives and prioritization. Partner with internal stakeholders (Risk, IT, Product, Credit, Marketing, Operations, Compliance) to embed data into core processes and decision-making. Establish and manage external data partnerships and co-develop data products where applicable. Leadership & Capability Building Build and lead a high-performing data organization comprising data scientists, data engineers, analysts, and governance professionals. Foster a data-driven culture by improving data literacy across functions and leadership teams. Champion change management initiatives to support enterprise-wide data transformation.

Grade M1 to M4 Reports to: Lead/Principal Data Scientist Is a Team leader No Team Size: -- Role Data Scientist/Sr Data Scientist Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time. Key Responsibilities 1.Writing Optimized Code Develop and maintain efficient, scalable code for model pipelines Implement best practices in coding to ensure performance and resource optimization 2. Version Control and Lifecycle Configuration Familiar with best practices to manage codebase changes with available resources Maintain and update configuration files to manage the lifecycle of data science models 3. Extracting Usable Information from Data Translate business needs into data-driven solutions and actionable insights Conduct thorough exploratory data analysis to uncover trends and patterns. Create and maintain feature repositories to document and manage features used in models 4. Building Robust Models Develop models that are reliable and generalize well across different time periods and customer segments. Continuously monitor and improve model performance to adapt to changing data and business conditions 5. Publishing Model Outcomes Communicate model results and insights effectively to stakeholders. Facilitate the adoption of models by ensuring they meet business needs and are user-friendly. Qualifications Master/PGDM in Statistics/Economics OR MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & PowerPoint SQL Python Supervised & Unsupervised machine learning algorithms Strong Communication skills Collaborative Mind-set Pro-active Approach to problem solving & stakeholder engagement Good to have Skills SAS AWS S3/ Sagemaker Version Control

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. : As a Sr Media Analyst, you will execute marketing programs across a variety of brands and businesses. Identifying and understanding target audiences. Determining the most effectivemediamix to display ads. Coordinating, monitoring and evaluatingmedia campaigns andstrategies will be the primary focus. The main job of a Sr Media Analyst is to build strongrelationshipswith clients and provide strategies and innovative ideas for their media; they work closely with top executives and assist junior-level staff with special projects. Should have consistently demonstrated deep media knowledge and developed strong, strategic deliverables. They are strategic thinkers that consistent elevate their work and build award worthy plans. Integrated Planning professional should have shown the ability to successfully train, mentor, and earn the respect of junior team members. They have built strong cross-functional relationships and earned the trust of their colleagues by consistently delivering top tier work. Individuals in this role oversee all aspects in the planning process, working in close collaboration with their team members to meet and exceeding expectations. Team members also need to understand optimization and to be able to actively manage campaign optimization and performance management They can autonomously participate in external discussions, and able to accurately discuss plans and reporting. Individuals may be called upon to oversee a variety of accounts. Individuals in this role may be expected to support various new business initiatives and client on boarding with limited oversight They foster an environment of collaboration, and open communication. Working at both the account and brand level to implement and activate digital media campaignsinclusive of building segments, forecasting and booking media placements, building media recommendations and assist in crafting insights based on media campaign performance. You will provide a high level of customer service to collaborate teams/clients with effective communication, timely responses to requests, and proactive resolution of potential issues. With support and guidance from your leader you will build various client or sales deliverables, such as proposals, media approaches, and audience strategies. Be required to work during US Day time (CST) for certain period in the year You will be tasked with this position reports to the Media Manager Roundel media. This is a fantastic opportunity to join an amazing team that was awarded 2017 Digital Marketer of the Year and further your digital media career.Job duties may change at any time due to business needs. About You Minimum of Bachelor's degree or higher in marketing, economics, or technical specialty Minimum 8-10 years of experience preference in digital marketing, including media planning, programmatic optimization across digital and social channels. Team player and keen to share knowledge with the peers, contributes/respects own ideas and those of others equally. Solid understanding of the omni channel paid media practices to create a cohesive, customized programs for the customer. Experience with media planning and forecasting across an entire digital media program. Ability to manage multiple responsibilities in a fast-paced environment. Previous experience managing large media accounts at a paid media agency. Passionate about media, data, analytics and technology. Experience in understanding & performing advanced analytics on digital data sources (e.g., digital analytics data, digital advertising data, DMP data, audience data, social data, search data, etc.) Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Fuelling the continued success of one of the worlds most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization. Target Marketing is well known for inspiring and surprising guests, and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target. We study our guests to discover new needs and insights, and then craft every interaction to build brand love. We are market experts who insist on a clear and cohesive understanding of our business objectives, guest segments and behaviours, strategies and tactics, overcoming obstacles and measuring success. Our commitment to partnering both internally and with external agencies gives us a wide range of capabilities, from award-winning creative work to exciting and unique promotional marketing. Leveraging our collective assets and fostering a healthy, supportive and open team culture, we deliver a holistically gratifying experience that guests can only get at Target. Role Description:As a Sr. Media Analyst , you will be a subject matter expert in programmatic media buying leading end-to-end programmatic engagements, actively managing advertisers budget and media performance across operated and owned and programmatic placements. You will own and manage the complete programmatic campaign life-cycle inclusive of implementing the programmatic media strategy, conducting continuous audience and media research, executing programmatic buys, creating performance reports and implementing optimizations. You will also create, activate and manage campaigns across DSPs and maintain a deep understanding of campaign management and optimization strategies along with providing detailed account analysis and campaign updates on an ongoing basis to ensure that we are delivering performance for advertisers goals. Performing evaluation of inventory sources, data, analytics solutions and technology platforms options in marketplace and develop roadmaps to help clients establish and achieve their programmatic media objective would be integral to the role. You will also lead consultative engagements by collaborating with internal stake-holders, our advertisers and their marketing agencies to contribute to the strategic insights. Being a thought leader by staying ahead of industry trends and sharing knowledge and best practices with the wider teams would be beneficial to the role.Responsibilities Must have a background working with Trading Desks, Desktop and/or Mobile digital media planning/buying tools, DSPs, SSPs, or Exchanges Have a core operational understanding of critical programmatic campaign components such asbrand safety guidelines, ad viewability, and filtering for suspicious and/or fraudulent media activity Be extremely detail-oriented, have the ability to prioritize and manage time efficiently among multiple client campaigns and daily tasks, and be able to work effectively under pressure Engage consistently with the partners & stakeholders to better understand their needs and drive solutions based on those needs Responsible for the overall category delivery pacing & performance. Accountable for the MOM overall category operational health rate which includes, KPI, error free execution, incremental sales, upsell revenue etc., Work in alliance with all team members and thereby bring in consistency with performance for the top / critical account of the category Involve actively in category specific practices discussion with manager and contribute towards process improvisation Participate in training & development planning program for new hires. As SME, will be the first point of contact for the partners and stake holders for any trading related queries which includes process, QA, platform troubleshooting etc., Willing to work on extended business projects in collaboration with other marketing / digital team Be required to work during US Day time (CST) for certain period in the year About You: Minimum of Bachelor's degree or higher in marketing, economics, or technical specialty Minimum 8-10 years of experience digital / programmatic marketing Minimum of 3-5 years of experience buying and actively optimizing programmatic media campaigns using major DSPs. Team player and keen to share knowledge with the peers, contributes/respects own ideas and those of others equally. Solid understanding of the omni channel paid media practices to create a cohesive, customized programs for the customer. Experience with media planning and forecasting across an entire digital media program. Ability to manage multiple responsibilities in a fast paced environment. Previous experience managing large media accounts at a paid media agency. Passionate about media, data, analytics and technology. Experience in understanding & performing advanced analytics on digital data sources (e.g., digital analytics data, digital advertising data, DMP data, audience data, social data, search data, etc.) Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Proficient in capital markets analytics and statistical modeling. Experienced in Tableau and Power BI for building dashboards and data visualizations. Skilled in SQL, Databricks, R, and Python for analytical problem-solving. Strong understanding of leasing, financial, and market trend analysis with a focus on delivering actionable insights to stakeholders. Expertise in collaborating with business teams to develop analytical solutions, perform predictive modeling, and ensure continuous learning of emerging tools and methods. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedbad, Pan India

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges