Data Analyst, Product Analytics

PowerToFly; Toronto; Hybrid; CAD 69,000 - 119,000; Full time

Job summary

A leading technology firm in Toronto is looking for a Data Analyst to lead product analytics for innovative AI solutions. This role involves working closely with product teams to implement analytics solutions, derive insights from data, and establish measurement frameworks. Candidates should have 2-4 years of experience in product analytics, strong skills in SQL and dashboarding tools like Tableau, and the ability to communicate analytical insights effectively. The position offers a hybrid work model and competitive benefits.

Benefits

Hybrid work model

Career development opportunities

Comprehensive benefits

Flexibility & work-life balance

Social impact initiatives

Qualifications

• 2-4 years of hands-on product analytics experience including working with stakeholders.
• 2-4 years independently driving data-driven decision-making within product teams.
• 2-4 years of experience using SQL to build and document queries.
• 2-4 years experience with dashboarding tools to enhance data insight.
• Strong communication skills for supporting analyses to stakeholders.

Responsibilities

• Lead end-to-end product analytics for assigned products.
• Partner with teams to deploy analytics solutions and capture metrics.
• Use data to recognize user behavior patterns and improvement opportunities.
• Establish measurement frameworks for product features and launches.
• Mentor peers on analytics best practices.

Skills

Data storytelling

SQL

Dashboarding techniques

Statistical analysis

Stakeholder management

AI-powered analytics tools

Tools

Tableau

Power BI

Pendo

Google Analytics

Adobe Analytics

Job description

Replacement: This position is open due to an existing vacancy to support our evolving business needs.

Summary:

Are you ready to own the analytics strategy for products used by millions of professionals worldwide? We're seeking a 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 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 leveraging advanced AI tools, such as RAG chains, LLMs, and other AI-powered analytics platforms, to enhance your own analysis capabilities. The analyst will be part of the Product Analytics team, a group of approximately 40 data analysts from varied backgrounds who support TR's product teams and collaborate to share ideas, best practices, and learnings.

The 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 with product, engineering, and design teams to support upcoming decisions and long-term goals. The 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 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 Data Analyst - Product Analytics if your background includes:

• 2-4 years of hands-on product analytics experience that includes some experience planning analytics measurement, working with stakeholders, and influencing specific decisions, OKRs, or metrics.
• 2-4 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.
• 2-4 years of experience using SQL; building and documenting queries for consistent team use.
• 2-4 years of experience with dashboarding techniques to make complex data more understandable and insightful using tools such as Tableau and Power BI.
• 2-4 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 DevOps, and MS SharePoint experience is an asset.
• SaaS experience is an asset.

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.

Equal Employment Opportunity

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.

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More information about Thomson Reuters can be found on thomsonreuters.com

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For Ontario, Canada, the base compensation range for this role is $69,000 CAD - $119,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.