Staff AI Product Analyst
CanadaFull-TimeStaff
SalaryCompetitive compensation aligned with experience and Canadian market benchmarks. Equity participation and potential performance-based bonuses.
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLTableauProduct AnalyticsData visualizationA/B testingdbtLooker
Requirements
- 5+ years of experience in product analytics, data science, or product-focused analytics roles
- Strong SQL skills with the ability to write complex, efficient queries for large-scale datasets
- Experience defining and tracking success metrics for complex products, ideally including AI or data-intensive features
- Hands-on experience with data visualization tools such as Looker, Tableau, Hex, or similar platforms
- Experience building dbt models and working within modern data stacks
- Familiarity with product analytics tools (e.g., Amplitude, Pendo, Heap, FullStory)
- Experience partnering closely with product and engineering teams in a fast-paced environment
- Strong understanding of experimentation frameworks, including A/B testing and statistical evaluation
- Excellent communication skills, with the ability to translate technical analysis into actionable business insights
- Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, or equivalent experience)
Responsibilities
- Define and evolve KPIs for AI-driven products, including adoption, engagement, retention, quality, and user outcomes
- Partner cross-functionally with Product, Engineering, and Design to establish measurement frameworks and product success criteria
- Design, implement, and interpret experiments (including A/B testing) to evaluate AI feature performance and product impact
- Improve product instrumentation and data quality to ensure reliable analytics for AI workflows and user behavior tracking
- Develop and maintain dbt models in collaboration with analytics engineering to transform and validate product data
- Build dashboards and reporting frameworks to support product roadmap planning and executive decision-making
- Influence product analytics standards and best practices across teams in a scaling, global organization
- Translate complex data insights into clear recommendations that shape product strategy and roadmap direction
- Contribute to long-term product analytics vision, balancing immediate needs with scalable data foundations
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