Marketing Data Analyst

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

marketing channels: email, direct mail, and digital. This role sits at the intersection of marketing strategy, data, and technical execution. You will turn raw campaign and behavioral data into clear analysis that drives decisions at every level, from channel owners to the executive team.

Right now, the first priority is to understand performance before we optimize it. In your first year you will establish trusted, consistent performance baselines across channels, find where the data does not add up, and tell us what is working and what is not. As that foundation matures, the role grows into attribution, marketing mix, and scoring models that guide budget allocation and targeting.

Our data foundation is built by our data engineering team. You will be its most demanding user. You will query across sources to answer marketing questions, find the gaps and inconsistencies others miss, and tell the data team what needs to be tracked, modeled, or fixed so the next question is easier to answer.