Product Analytics Associate 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 Associate Engineer to join our Data Platform team, supporting the data-driven insights and product analytics that directly improve member outcomes and Care Team effectiveness. This is a great opportunity to grow at the intersection of product, data, and healthcare — working alongside our Data Engineering and Product Analytics team to help translate Member and Care Team data into actionable insights, while building deep, hands-on experience with modern analytics engineering practices. You'll partner with Product Managers, Area owners, Care Team leads, and Data Engineers, with support and mentorship from senior team members as you grow into greater ownership of your own product areas.

Responsibilities

Assist Product Managers and Area owners with data pulls, ad hoc analysis, and basic reporting to support their day-to-day decision-making

Help set up and monitor A/B tests — building tracking queries, checking data quality during test runs, and summarizing results for senior team members to review

Write and maintain SQL queries and dbt models for specific, well-scoped tables and metrics, with code review and guidance from senior analytics engineers

Build and update components of dashboards and reports in our BI tools (e.g., adding a new metric, fixing a broken visualization) under the direction of senior team members

Help track and report on established KPIs across product areas — member engagement, CGM utilization, Care Team effectiveness — using existing frameworks and definitions

Learn our data architecture by working closely with Data Engineers, asking questions, and gradually taking on small pipeline tasks

Run data quality checks on assigned datasets and flag anomalies or inconsistencies to the team

Practice communicating findings clearly in team meetings and written summaries, building toward more stakeholder-facing work over time

Contribute to documentation (data dictionaries, metric definitions) for the models and reports you work on

Ask questions, seek feedback, and take initiative in identifying small improvements to existing processes

Other duties as assigned

Qualifications

Bachelor's degree in Computer Science, Statistics, Data Science, or related field