Product Data Analyst

Overview

The Product Data Analyst will be responsible for driving product decisions through data-driven insights, rigorous experimentation, and comprehensive analysis of user behaviors. This role requires close collaboration with Product, UX, and Engineering teams to influence product strategies and improve security-focused customer experiences.

Key Duties

• Develop and implement experimentation strategies by designing, executing, and analyzing A/B tests and quasi-experiments to assess product and feature impact on engagement, retention, and customer satisfaction.
• Perform detailed analysis of user flows, onboarding processes, feature use, and retention cohorts to discover growth and optimization opportunities.
• Define and maintain critical performance metrics including north-star metrics, KPIs, and guardrails, ensuring consistency across teams and dashboards.
• Translate complex analytical results into actionable and clear recommendations that guide product roadmap decisions and prioritization.
• Collaborate with data engineering and platform teams to guarantee data quality, scalable data models, and reliable reporting frameworks.
• Utilize advanced statistical approaches, such as segmentation, cohort analysis, regression, and causal inference, to identify user behavior drivers and product performance factors.
• Partner cross-functionally with Product Managers, Designers, and Engineers to integrate analytics into all stages of product development.
• Provide leadership and mentorship to analysts, enhancing experiment design, metric formulation, and data storytelling capabilities within the team.
• Effectively communicate insights to stakeholders and leadership through presentations, dashboards, and narrative reports.

Candidate Profile

• 5 to 8 years of experience in product analytics, advanced analytics, or data science with a focus on product environments.
• Proficient in designing and interpreting A/B tests and quasi-experimental methodologies including difference-in-differences and matching techniques.
• Strong command of SQL and Python for analytical tasks, with a solid statistical background including hypothesis testing.
• Expertise in analyzing user behavior, optimizing funnels, improving retention, and measuring feature adoption.
• Experienced with BI visualization tools such as Power BI, Tableau, or Looker to present insights clearly.
• Knowledgeable in event-based telemetry data, data modeling, and specifying tracking requirements for digital products.
• Strong business and product understanding to relate data insights to strategic and experiential enhancements.
• Excellent communication and stakeholder engagement skills capable of influencing cross-team decisions.
• Academic credentials preferably include a bachelor’s or master’s degree in Statistics, Computer Science, Engineering, Mathematics, or related quantitative discipline.

Additional Information

This position is based in Mississauga, Ontario, Canada, and requires onsite attendance. It is offered on a contract basis. The role involves working in a hybrid environment linked to technological and security product teams.