Product Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Product Managers, Care Team leaders, and Area owners to convert business objectives into measurable hypotheses and actionable insights that enhance product features and improve member outcomes.

• Design and assess experiments (A/B tests and more) to validate product hypotheses and inform iterative processes.

• Work alongside Product and Machine Learning teams to evaluate the effects of new features, workflows, and personalization systems.

• Develop and sustain comprehensive dbt models, dashboards, and self-service analytics tools utilizing Snowflake, dbt, and BI platforms.

• Define, track, and communicate key performance indicators across product domains — including member engagement, CGM utilization, Care Team efficiency, and additional metrics.

• Partner with Data Engineers to ensure that the analytical layer is constructed on a dependable, well-organized data framework.

• Create data pipelines for analytics and insight development using Python, dbt, and Snowflake.

• Formulate and execute data validation and monitoring strategies to guarantee ongoing data integrity.

• Clearly and effectively communicate findings to both technical and non-technical stakeholders.

• Generate and maintain technical documentation, encompassing data models, metric definitions, and data dictionaries.

• Contribute to the ongoing enhancement of data analytics processes and best practices.

• Perform other responsibilities as assigned.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Statistics, Data Science, or a related discipline (Master's degree preferred).

• 4–7 years of experience in product analytics, data analytics, or a comparable role.

• Proven experience collaborating closely with Product Managers on strategy, roadmap planning, and execution.

• Strong proficiency in SQL — capable of writing complex queries confidently and efficiently.

• Experience with DBT (data build tool) for data modeling and transformation.

• Expertise in cloud data warehouses — Snowflake preferred.

• Knowledge of BI tools such as LightDash, Tableau, or similar platforms.

• Strong business insight — ability to link data to product decisions and business outcomes.

• Excellent communication skills, with the capability to influence stakeholders in both technical and non-technical teams.

• Bonus: Experience with Python for data analysis (pandas, numpy).

• Bonus: Familiarity with data pipeline tools (Airflow, Fivetran, Rivery, or Workato).

• Bonus: Experience in healthcare or digital health.

• Preferably able to collaborate during Pacific Standard Time (PST) business hours.

🏝️ Benefits

• A competitive compensation package aligned with leading technology companies.

• A remote and accomplished global team.

• Opportunity for equity participation.

• Unlimited vacation with manager approval.

• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents.

• 100% Employer-sponsored healthcare, dental, and vision for you, with 80% coverage for your family; options for Health Savings Account and Flexible Spending Account.

• 401k retirement savings plan.