Analyst, Health Economics & Outcomes Research at Twin Health in Remote

Summary: Twin Health is dedicated to improving and preventing chronic metabolic diseases through AI Digital Twin technology. They are seeking a data-driven Analyst for their Health Economics and Outcomes Research team to support the development of health economic models and translate clinical outcomes into financial narratives. Responsibilities: - Modeling Support: Assist in the development, maintenance, and execution of health economic models (e.g., Budget Impact Models and Cost-Effectiveness Analyses) - BI Tool and Dashboard Support: Build and maintain interactive dashboards and reports in business intelligence tools to support decision-making and to translate business questions into clear metrics - Data Extraction: Use SQL to pull and clean data from product and clinical datasets to be used as inputs for economic models - Visualization: Build and update dashboards that track key performance indicators (KPIs) related to health outcomes and cost savings for our partners - Research Assistance: Support literature reviews and evidence synthesis to identify variables and benchmarks for economic modeling - Collaboration: Partner with Sales, Marketing, and Partner Success teams to provide the data-driven "proof points" needed to communicate Twin’s value proposition - Quality Assurance: Ensure the accuracy and integrity of data within our reporting ecosystem through rigorous testing and validation - Other duties as assigned Required Qualifications: - 1–3 years of experience in data analysis, health economics, or a related field (relevant internships or academic projects are welcomed) - Proficiency in SQL and Excel (advanced formulas/modeling) is required - Familiarity with data visualization tools (e.g., Tableau, Lightdash) and an interest in learning economic modeling software - A degree in Economics, Public Health, Statistics, Data Science, or a related quantitative field is preferred - A strong curiosity for how clinical improvements (like lowering HbA1c) translate into economic savings for employers and insurers - Ability to distill complex data into clear, concise insights for internal stakeholders - Must be authorized to work for any employer in the U.S. (No visa sponsorship available at this time) Preferred Qualifications: - A degree in Economics, Public Health, Statistics, Data Science, or a related quantitative field Required Skills: SQL, Health economics, Data analysis Important Skills: Excel, Data visualization Nice-to-Have Skills: Analytical mindset, Communication 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