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Salary: CAD 125,200 - 0 / annual
Jane App is seeking a Staff Product Data Analyst to rebuild and establish the data and analytics foundation across the company. This is a technical, infrastructure-focused role—not traditional dashboard building or insight generation.
You will partner with Engineering, Product, and Growth teams to design and maintain the product analytics data foundation that powers self-service analytics, experimentation, and AI. Key responsibilities include:
- Build and maintain scalable dbt models that transform raw product events into trusted analytical datasets
- Partner with Engineering to define, implement, and validate product instrumentation before feature releases
- Design semantic models, standardized business logic, and governed metric definitions ensuring consistent product metrics across dashboards, self-service tools, and AI systems
- Develop certified datasets powering modern analytics platforms (Looker, Omni, Hex, Sigma)
- Monitor product data pipelines, identify instrumentation gaps and data quality issues, and implement long-term improvements
- Establish standards for how product data is modeled, tested, documented, and maintained
- Leverage AI tools to accelerate analytics engineering workflows
You'll need 6+ years in Product Data Analytics, Analytics Engineering, or similar technical data roles at SaaS/high-growth companies. Expert SQL skills, deep experience designing scalable analytical data models, and 6+ years deploying dbt in production are essential. Experience with behavioral product data modeling, event-driven datasets, CDPs (Segment, RudderStack), semantic models, data quality testing, and modern cloud platforms (Snowflake, BigQuery, Redshift) is required. Familiarity with AI tools like Cursor or Claude Code is a plus.
Jane is a founder-led, high-growth SaaS company headquartered in North Vancouver, BC, with 850+ employees working remotely across Canada, the US, and the UK. The company builds practice management and patient engagement tools for thousands of clinics. The role offers competitive compensation with intentionally wide salary bands reflecting growth potential.
