Business Analytics Lead - Predictive Modeling
Posted on November 23, 2025 (about 2 hours ago)
About Twin Health
Twin Health empowers people to improve and prevent chronic metabolic diseases like type 2 diabetes and obesity with a new standard of care by applying AI Digital Twin technology exclusively toward metabolic health. They build a dynamic model of each person’s metabolism using thousands of data points from CGMs, smartwatches, and meal logs to map personal paths to better health. Members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or eliminated medications while living healthier lives.
Working Here
The team at Twin Health is passionate, talented, and united by a shared purpose to improve metabolic health and happiness. The company values empowering each employee to make meaningful impacts, promoting a supportive and collaborative work environment. Twin Health is recognized for innovation and culture, including awards like Innovator of the Year (EHIR), inclusion in CB Insights’ Digital Health 150, and being named one of Newsweek’s Top Most Loved Workplace®. With over $100 million raised in funding, including a $53 million Series E in 2025, the company is rapidly scaling in the U.S. and globally.
Opportunity
This role offers a chance to influence how a leading health-tech company scales. The Lead Analyst will own end-to-end analytics in critical areas such as connecting clinical outcomes to LTV, work with complex datasets to develop novel KPIs, and collaborate cross-functionally with finance, product, and operations leaders. The role involves technical skill and business intuition in a visible position.
Responsibilities
- Develop and implement predictive models to optimize business operations, including forecasting member-level revenue and clinical resource demand for staffing optimization.
- Design prescriptive analytics solutions such as optimization algorithms and simulation models to recommend cost-effective and efficient actions for clinical operations and member support teams.
- Define key business KPIs, create operational dashboards, and automate reports for real-time visibility into business health and efficiency.
- Lead design and analysis of A/B tests and quasi-experiments for operational improvements like messaging frequency or service delivery models.
- Other duties as assigned.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Econometrics or related field (Master’s preferred).
- Experience in building and validating predictive and prescriptive models (e.g., churn, LTV, demand forecasting, resource allocation, pricing optimization).
- Advanced skills in SQL and statistical programming (Python or R) and experience with BI dashboards.
- Ability to work cross-functionally with Engineering/Data Engineering on data structures for complex modeling.
- Interest and foundational knowledge of Agentic AI or advanced machine learning to enhance predictive modeling and business intelligence.
- Passion for Twin’s mission to transform lives by empowering people to manage chronic metabolic diseases.
- This is a hybrid role based in New York, NY; candidates must be authorized to work in the U.S. No Visa sponsorship provided.
Compensation and Benefits
The compensation range is $130,000 - $140,000 annually. Twin Health offers a competitive package aligned with leading tech companies, a remote global team, equity participation opportunity, unlimited vacation with approval, paid parental leave, employer-sponsored healthcare and retirement plans, and a supportive culture based on passion, talent, and trust.
How to Apply
Please apply via the application form on the job page. Ensure to provide all required information including personal details, experience, and authorization to work in the U.S.