Product Analytics Engineer

Twin Health

Product Analytics Engineer at Twin Health driving data-driven insights to improve member outcomes. Collaborating with teams to translate data into actionable opportunities in healthcare.

Posted 6/25/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowCloudNumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdbtdata modelingdata transformationdata analysisdata validationdata monitoringA/B testingdata pipelinesKPI definition

Soft Skills

communicationcollaborationbusiness acumeninfluenceproblem-solvinganalytical thinkingstakeholder engagementadaptabilityattention to detailcontinuous improvement

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in StatisticsBachelor's degree in Data ScienceMaster's degree (preferred)