Lead 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 This role is a unique opportunity to directly influence how a leading health-tech company scales. You won't just analyze data; you'll build the tools that shape our strategy. As a Lead Analyst, you’ll own end-to-end analytics in business critical areas like connecting clinical outcomes to LTV. You will take these projects from data extraction through modeling and communication of results to senior leadership. Additionally, you’ll work with large and complex datasets to develop novel KPIs as Twin expands its lines of business. This is an opportunity to apply technical skill and business intuition in a highly visible role, while collaborating with leaders across finance, product, and operations teams. Responsibilities Develop and Implement Predictive Models to optimize core business operations, such as forecasting member-level revenue or predicting clinical resource demand (staffing optimization). Focus on Prescriptive Analytics by designing solutions (e.g., optimization algorithms, simulation models) that recommend the most cost-effective and efficient actions for clinical operations and member support teams. Define key business KPIs, establish operational dashboards, and create automated reports that provide real-time visibility into business health and efficiency. Lead the Design and Analysis of A/B Tests and quasi-experiments focused on operational improvements (e.g., messaging frequency, or service delivery models). Other duties as assigned Qualifications Background: Bachelor’s degree in Data Science,Statistics, Econometrics or a related field (Master’s preferred). Forecasting Expertise: Direct experience building and validating predictive models (e.g., churn, LTV, demand forecasting) and prescriptive models (e.g., resource allocation, pricing optimization). Technical Proficiency: Advanced skills in SQL and statistical programming (Python or R). Must have experience building and maintaining BI dashboards. Data Strategy & Collaboration: Proven ability to work cross-functionally with Engineering/Data Engineering teams to define and refine data structures necessary for complex modeling. Innovation & AI Mindset: Demonstrated interest and foundational knowledge regarding the application of Agentic AI or advanced machine learn