Title: Product Data Analyst

Location: Canada Mississauga, Ontario - Hybrid

Duration: Contract

Job Description

As a Product Analyst, you will drive data-informed product decisions by delivering actionable insights, designing robust experiments, and developing a deep understanding of user behavior. You will partner closely with Product, UX, and Engineering teams to shape product strategy and enhance the customer experience across security products.

Key Responsibilities

- Experimentation Strategy: Design, execute, and analyze A/B tests and quasi-experiments to evaluate the impact of products and features on engagement, retention, and customer satisfaction.
- Product Insights: Conduct deep-dive analyses of user journeys, onboarding funnels, feature adoption, and retention cohorts to identify growth and optimization opportunities.
- Metrics and Measurement: Establish north-star metrics, KPIs, and guardrails, and ensure consistent definitions across teams and dashboards.
- Decision Support: Translate complex analyses into clear, actionable recommendations that inform product roadmaps and prioritization.
- Data Foundations: Partner with data engineering and platform teams to ensure high-quality telemetry, scalable data models, and reliable reporting layers.
- Advanced Analytics: Apply statistical techniques—including segmentation, cohort analysis, regression, and causal inference—to uncover the drivers of user behavior and product performance.
- Cross-Functional Collaboration: Work closely with Product Managers, Designers, and Engineers to embed analytics throughout the product development lifecycle.




- Analytics Leadership: Mentor analysts and elevate team practices in experiment design, metric definition, and data storytelling.
- Stakeholder Communication: Present explicit, compelling insights to stakeholders and leadership through dashboards, presentations, and data-driven narratives.

Qualifications

- Experience: 5–8 years of experience in product analytics, advanced analytics, or data science, with a strong product focus.
- Experimentation: Hands-on experience designing and interpreting A/B tests and quasi-experimental methods, such as difference-in-differences and matching.
- Analytical Skills: Proficiency in SQL and Python for data analysis, supported by a strong foundation in statistics and hypothesis testing.
- Product Analytics: Deep understanding of user behavior analysis, funnel optimization, retention, and feature-adoption metrics.
- Data Visualization and Storytelling: Experience using BI tools such as Power BI, Tableau, or Looker to communicate insights effectively.
- Telemetry and Data Modeling: Experience working with event-based data and defining tracking requirements for digital products.
- Business and Product Acumen: Ability to connect data insights with product strategy and customer experience improvements.
- Communication and Stakeholder Management: Strong communication and stakeholder management skills, with the ability to influence decisions across teams.
- Education: Bachelor’s or master’s degree in a quantitative field—such as Statistics, Computer Science, Engineering, Mathematics, or a related discipline—is preferred.

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