Twin Health invented the Whole Body Digital Twin™ to help reverse and prevent chronic metabolic diseases.
Product Analytics Engineer
Location
United States
Posted
7 days ago
Salary
$130K - $140K / year
Seniority
Senior
Job Description
Product Analytics Engineer
Twin Health
• 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 including data models, metric definitions, and data dictionaries • Contribute to the continuous improvement of data analytics processes and best practices • Other duties as assigned
Job Requirements
- Bachelor's degree in Computer Science, Statistics, Data Science, or related field (Master's preferred)
- 4–7 years of experience in product analytics, data analytics, or a similar role
- Experience partnering closely with Product Managers on strategy, roadmap, and execution
- Strong SQL skills — ability to write complex queries confidently and efficiently
- Experience with DBT (data build tool) for data modeling and transformation
- Proficiency with cloud data warehouses — Snowflake preferred
- Familiarity with BI tools such as LightDash, Tableau, or equivalent
- Strong business acumen — ability to connect data to product decisions and business outcomes
- Strong communication skills, with the ability to influence stakeholders across 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: Healthcare or digital health experience
- Ability to collaborate during Pacific Standard Time (PST) business hours is preferred.
Benefits
- A competitive compensation package in line 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, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
- 401k retirement savings plan
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