Senior Analyst - Product Analytics

Summary:

Are you ready to own the analytics strategy for products used by millions of professionals worldwide? We're seeking a Senior Data Analyst who will guide product teams through our AI transformation journey, delivering strategic insights and establishing the measurement frameworks that accelerate innovation and enable data-driven decision-making.

Thomson Reuters is seeking a Senior Data Analyst to lead product analytics for one or more products within our portfolio, including innovative AI and Gen AI solutions that are transforming how professionals work. This is an exciting opportunity to analyze cutting-edge AI-powered products while also leveraging advanced AI tools like RAG chains, LLMs, and other AI-powered analytics platforms to enhance your own analysis capabilities. The senior analyst will be a part of the Product Analytics team, a group of approximately 40 data analysts of varied backgrounds who support TR's product teams and work together to share ideas, best practices, and learnings with each other.

The Senior Analyst will be responsible for end-to-end product analytics for their assigned product(s). They will work as an extension of the product team and will proactively collaborate closely with product, engineering, and design teams to support upcoming decisions and long-term goals. The senior analyst will own the implementation of product analytics trackers such as (not limited to) Pendo, conducting regular analysis, building reports/dashboards, and using them to produce feature/usage insights to drive product decisions. This product-focused role will require a thorough understanding and ownership of the assigned product(s), the roadmap, and skills to draw business, customer, and product insights from data. This is an ideal role for a product or business analyst who is great with data, has some experience with stakeholders and analytics initiatives, and is ready to take the next step in their career.

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: Leverage AI tools including RAG (Retrieval-Augmented Generation) chains for knowledge synthesis, LLMs for complex data analysis, and AI-powered tools for data analysis and insight generation.
• 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.
• Teamwork: Support peers (including data analysts) in their defined roles, mentoring them with best practices and providing recommendations for their analysis.

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 some experience planning 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 Power BI.
• 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.
• Experience with AI-powered analytics tools, including familiarity with prompt engineering for LLMs, using AI for data analysis and interpretation, and understanding of RAG systems for knowledge management.
• Strong communication skills, including experience in supporting and communicating data-driven analyses to various departments and stakeholders.
• Exposure to product analytics tools such as Pendo, Amplitude, Adobe Analytics, and Google Analytics is an asset.
• Building and maintaining support processes e.g. MS Azure Dev Ops, and MS SharePoint experience is an asset.
• SaaS experience is an asset.