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HomeCompaniesTwin HealthBusiness Analytics Lead - Predictive Modeling

Business Analytics Lead - Predictive Modeling

Twin Health · New York, NY · Remote · Active · $130,000–$140,000 / year · Greenhouse

Job facts

FieldValue
CompanyTwin Health
TitleBusiness Analytics Lead - Predictive Modeling
Normalized title-
Department / teamHealth Economics
LocationNew York, NY, United States
Work modelRemote / Remote
Employment type-
Salary$130,000–$140,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-11-21 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Twin Health.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Health Economics.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTwin Health
Sourcec6aaf246-2b79-4404-a6b0-16948e687010
ATS providerGreenhouse

Description

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 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. Compensation and Benefits The compensation range for this position is $130,000 - $140,000 annually. Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin 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 We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.

Full job record

Job IDa9d8297f68b8fcd85619da65ce643658e3aae425
Org ID35a0cece-3443-4458-a67c-88d68f28df0e
Source IDc6aaf246-2b79-4404-a6b0-16948e687010
Board IDc6aaf246-2b79-4404-a6b0-16948e687010
Providergreenhouse
Provider Job Key5718841004
TitleBusiness Analytics Lead - Predictive Modeling
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY
DepartmentHealth Economics
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary RawCompensation and Benefits The compensation range for this position is $130,000 - $140,000 annually
Salary Min130,000
Salary Max140,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/twinhealth/jobs/5718841004
Apply URLhttps://job-boards.greenhouse.io/twinhealth/jobs/5718841004
First Seen At2026-05-29 23:03:14Z
Last Seen At2026-06-06 07:34:56Z
Last Checked At2026-06-06 07:34:56Z
Last Changed At2026-05-29 23:03:14Z
Inactive At
Source Posted At2025-11-21 15:49:54Z
Source Updated At2026-05-20 21:13:04Z
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Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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