Product Analytics Engineer

Twin Health 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.

Working here 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.

Opportunity 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.

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 outcomesDesign and evaluate experiments (A/B tests and beyond) to validate product hypotheses and guide iterationPartner with Product and ML teams to measure the impact of new features, workflows, and personalization systemsBuild 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 moreCollaborate with Data Engineers to ensure the analytical layer is built on a reliable, well-structured data foundationBuild data pipelines for analytics and insight generation using Python, dbt, and SnowflakeDevelop and implement data validation and monitoring strategies to ensure ongoing data integrityCommunicate findings clearly and effectively to both technical and non-technical stakeholdersCreate and maintain technical documentation including data models, metric definitions, and data dictionariesContribute to the continuous improvement of data analytics processes and best practicesOther duties as assignedQualifications 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 roleExperience partnering closely with Product Managers on strategy, roadmap, and executionStrong SQL skills — ability to write complex queries confidently and efficientlyExperience with DBT (data build tool) for data modeling and transformationProficiency with cloud data warehouses — Snowflake preferredFamiliarity with BI tools such as LightDash, Tableau, or equivalentStrong business acumen — ability to connect data to product decisions and business outcomesStrong communication skills, with the ability to influence stakeholders across technical and non-technical teamsBonus: Experience with Python for data analysis (pandas, numpy)Bonus: Familiarity with data pipeline tools (Airflow, Fivetran, Rivery, or Workato)Bonus: Healthcare or digital health experienceThis 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.Compensation and Benefits The compensation range for this position is $130,000 - $140,000 annually.

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors.

We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust.

We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin A competitive compensation package in line with leading technology companiesA remote and accomplished global teamOpportunity for equity participation Unlimited vacation with manager approval16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options401k retirement savings plan