Staff Product Data Analyst

The role

You will build the technical foundation for product analytics to enable self-service, experimentation, and AI. You will partner with Engineering, Product, and Growth to improve instrumentation, build dbt models, and create governed datasets.

What you will do

• Build and maintain the product analytics data foundation.
• Partner with Engineering to define and validate product instrumentation.
• Design and maintain scalable dbt models.
• Build semantic models, standardized business logic, and governed metric definitions.
• Develop certified datasets for platforms like Looker, Omni, and Hex.
• Partner with Product Managers to translate requirements into analytical data models.
• Monitor product data pipelines and implement improvements for data quality.
• Improve how product data is modeled, governed, documented, and consumed.
• Leverage AI to accelerate analytics engineering workflows.

Required qualifications

• 6+ years of experience in Product Data Analyst, Analytics Engineering, or a similarly technical data role within a SaaS or high-growth technology company.
• Expert-level SQL skills.
• Deep experience designing scalable analytical data models.
• Strong understanding of data architecture and query performance optimization.
• 6+ years of experience building, deploying, and maintaining dbt projects in production environments.
• Experience modeling behavioral product data and building event-driven analytical datasets.
• Experience partnering with Engineering teams to define product instrumentation requirements.
• Experience working with Customer Data Platforms (CDPs) such as Segment or RudderStack.
• Experience designing semantic models, reusable business logic, governed datasets, and trusted metric definitions.
• Experience implementing data quality testing, documentation, observability, and governance best practices.
• Experience building or supporting modern analytics and visualization platforms such as Looker, Omni, Hex, or Sigma.
• Strong understanding of how semantic models and governed metrics are consumed across dashboards, self-service analytics, and AI experiences.

Benefits

• Equity through JSOP (Jane Stock Option Plan)

About the company

Jane is a founder-led, high-growth SaaS company with a remote-first team working across Canada, the US, and the UK. They build products and tools that thousands of clinics rely on to run their businesses.