Product Analytics Engineer

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. 

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

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.

• →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

• 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.
• This remote opportunity based out of the U.S. 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.