Business Analytics Lead - Predictive Modeling

Twin Health • New York, NY

38d • $130,000 - $140,000 • Hybrid

About The Position

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. 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.

Requirements

• 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 learning to enhance predictive modeling and business intelligence.
• Passion: Twin’s purpose to transform lives by empowering people to reverse, prevent and improve chronic metabolic diseases excites you.
• This hybrid opportunity is based out of our New York, NY office. 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.

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

Benefits

• A competitive compensation package in line with leading technology companies
• A remote and accomplished global team
• Opportunity for equity participation
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees