Senior Data Analyst, Product Analytics at Thomson Reuters

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Analytics, Data Storytelling, Customer Journey Mapping, Audience Profiling, Cohort Analysis, Tag Management, A/B Testing, SQL, Dashboarding, Python, R, Statistical Analysis, AI Tools, Stakeholder Management, Data-Driven Decision Making, Measurement Frameworks, BI Reporting

Industry

Software Development

Description

Are you ready to shape the analytics strategy for products used by millions worldwide? We’re looking for a Senior Data Analyst to lead product analytics and guide teams through our AI transformation journey. In this role, you’ll deliver strategic insights, define measurement frameworks, and evaluate AI-specific metrics such as model performance, prompt effectiveness, response quality, and user trust. You’ll analyze user interactions with conversational interfaces, assess retrieval accuracy in RAG systems, and measure engagement with AI features to determine business impact. You’ll work closely with product, engineering, and design teams, owning analytics implementation (e.g., Pendo) and translating complex AI behaviors into actionable insights. Success requires strong collaboration skills, curiosity, and experience in AI/ML product analytics. Join our Product Analytics team—a group of 40 analysts sharing best practices and driving data-informed innovation across Thomson Reuters. About the Role: In this opportunity as a Senior Data Analyst - Product Analytics, you will be responsible for: Analytical Tools Implementation: Partner with developers/platform architects to deploy relevant product analytics solutions (like Pendo) and ensure the right metrics, journeys, and events are captured in-product. Data-Driven Decision Making: Use product analytics/data to recognize patterns and trends to understand user behavior and identify improvement opportunities. Measurement Frameworks: Proactively establish measurement frameworks/success metrics for new product launches/features and drive actionability through data-driven insights. AI-Powered Analytics: Apply AI-native analytics approaches, using LLMs to analyze unstructured data, leveraging RAG-based retrieval concepts to synthesize information across knowledge bases (hands-on implementation not required), and using GenAI tools to automate reporting and surface insights, with clear human-in-the-loop review, QA, and validation practices to ensure accuracy, reliability, trust and appropriate use. Stakeholder Management: Independently develop and manage relationships with peers/product managers/senior leadership for your portfolio ensuring collaborative partnership for OKR setting and driving analytical insights. Center of Excellence: Partner with product teams to define and maintain support processes and instill a data-driven culture within the organization. BI/Reporting: Partner with BI teams and other analysts to build dashboards and reports, including baselines and trends for page performance, feature usage, and customer segments. Thought Leadership: Demonstrate thought leadership by proactively leveraging analyses to understand products, derive insights, run experiments, and be the contact point for any analytics need for your portfolio. About You: You're a fit for the role of Senior Data Analyst - Product Analytics if your background includes: 5+ years of hands-on product analytics experience that includes experience in analytics measurement, working with stakeholders, and influencing specific decisions, OKRs, or metrics. 5+ years of experience independently driving data-driven decision-making within product teams going beyond report generation to deliver insights through data storytelling. Experience with analyses such as customer journey mapping, audience profiling/segmentation, cohort analysis, tag management, and A/B testing. 4+ years of experience using SQL – building and documenting queries for consistent team use. 4+ years of experience with dashboarding techniques to make complex data more understandable and insightful using tools such as Tableau and PowerBI. 4+ years of experience using statistical packages within Python/R to analyze structured and unstructured datasets and deliver insights on product usage and performance. Strong understanding of statistical concepts including hypothesis testing, confidence intervals, correlation analysis, regression analysis, and statistical significance to ensure rigorous data interpretation. Demonstrated ability to leverage AI tools for analytics, including designing prompts to extract insights from LLMs, using generative AI for data interpretation and insight synthesis, and utilizing RAG systems for information retrieval and knowledge management. AI Insight Quality & Governance: Establish lightweight QA and review practices for AI-assisted analytics (validation sampling, traceability to sources, prompt/version documentation) to ensure insights are accurate, explainable, and decision-ready. Strong people skills and stakeholder intuition, able to plug into existing product/engineering processes, influence without authority, and stay relentlessly curious to understand the "why" behind the data. Exposure to product analytics tools such as Pendo, Amplitude, Adobe Analytics, and Google Analytics is an asset. SaaS experience is an asset. #LI-GS1 What’s in it For You? Hybrid Work Model: We’ve 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 tomorrow’s 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 values: Obsess 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. About Us 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 exciting? Join 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. At Thomson Reuters, we’re not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism. Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering market-leading solutions, and innovating with curiosity and care. Learn more about a career with us 📖 Our employer story 🔍 Inside Thomson Reuters blog 🏆 Awards and recognition 🤝 Our values Future-ready careers Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

Responsibilities

The Senior Data Analyst will lead product analytics, delivering strategic insights and defining measurement frameworks. They will analyze user interactions and evaluate AI-specific metrics to determine business impact.