Product Analytics Engineer

Opportunity

We are looking for a Product Analytics Engineer to join our Data Platform team, where you will play a key role in driving data-driven insights and product analytics that directly improve member outcomes and Care Team effectiveness. This is an exciting opportunity to work at the intersection of product, data, and healthcare — serving as the critical bridge between our Data Engineering foundation and the product and business teams who rely on data to make decisions. You will collaborate closely with Product Managers, Area owners, Care Team leads, and Data Engineers to translate deep Member and Care Team data into actionable opportunities, enabling better metabolic health outcomes for our diverse member base through improvements in nutrition, exercise, sleep, and stress as well as higher efficacy and efficiency for our Care Team.

Responsibilities

• Partner with Product Managers, Care Team leads, and Area owners to translate business goals into measurable hypotheses and actionable insights that drive product enhancements and member outcomes
• Design and evaluate experiments (A/B tests and beyond) to validate product hypotheses and guide iteration
• Partner with Product and ML teams to measure the impact of new features, workflows, and personalization systems
• Build and maintain robust dbt models, dashboards, and self-serve analytics tools using Snowflake, dbt, and BI platforms
• Define, monitor, and communicate KPIs across product areas — member engagement, CGM utilization, Care Team effectiveness, and more
• Collaborate with Data Engineers to ensure the analytical layer is built on a reliable, well-structured data foundation
• Build data pipelines for analytics and insight generation using Python, dbt, and Snowflake
• Develop and implement data validation and monitoring strategies to ensure ongoing data integrity
• Communicate findings clearly and effectively to both technical and non-technical stakeholders
• Create and maintain technical documentation