Twin Health combines advanced medical science and technology with a clinical care team to help people take control of conditions like type 2 diabetes, prediabetes, and obesity. Twin is a metabolic health benefit offered exclusively through employers or health plans.

Our Digital Twin™ technology learns a member’s unique metabolism based on insights collected from smart devices, meal logs, and lab work. By seeing how their body responds to lifestyle choices, Twin can provide real-time, personalized recommendations on nutrition, activity, sleep, stress, and more. Our clinical care team then guides the member on a clear path toward their health goals, celebrating each win along the way.

Opportunity

We are looking for a Product Analyst 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 including data models, metric definitions, and data dictionaries

Contribute to the continuous improvement of data analytics processes and best practices

Other duties as assigned

Qualifications

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

This remote opportunity is based out of the U.S within Pacific Standard Time (PST) business hours. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.