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AIR’s Healthcare Transformation Program is seeking a Data Analyst II . This role will support healthcare-related projects. The ideal candidate will demonstrate strong problem-solving skills and experience in quantitative data management and analysis, including statistical analysis, modeling, and producing data visualizations, to ensure high-quality data-driven insights. The candidate will also have experience managing, cleaning, and analyzing complex data from Centers for Medicare & Medicaid Services (CMS), Medical Expenditures Panel Survey (MEPS), and/or similar large, nationally representative surveys and claims. AIR's Healthcare Transformation Program partners with Medicare, Medicaid, federal and state agencies, foundations, and private organizations to advance evidence-based healthcare policy, financing, quality measurement, and value-based care through innovative research, analytics, technology, and implementation solutions that improve health outcomes, patient experiences, and affordability. This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories.  About AIR: Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.  Responsibilities   Analyze healthcare-related data, such as claims (e.g., CMS) and national surveys/databases (e.g. MEPS).  Construct, clean, statistically model, and report findings using SAS and Python or R. Implement statistical methods to analyze data. Follow programming guidelines and rigorous quality assurance approaches, including the maintenance of accurate documentation for the programs. Analyze data, summarize results, and incorporate findings into memos, briefs, and/or reports tailored to client needs. Interact professionally with peers, managers, and clients. Strictly adhere to timelines and deadlines.  Apply quantitative methods and techniques to manage, analyze, and interpret research data.  Construct, clean, and document large datasets for both internal use and project-specific needs.  Contribute to the design and methodology of research studies. Assist in the preparation of technical procedures, documentation, and reports.  Review work products to ensure accuracy, clarity, and consistency of content.  Qualifications: Education, Knowledge, and Experience A minimum of bachelor’s degree in a quantitative field like Statistics, Economics, Computer Science, Health Policy, Epidemiology, or related field and 3-5 years' quantitative research experience in health policy or a related field. Master’s degree is preferred. A minimum of 3 years of proven work experience as a Programmer, Data Analyst, or similar developing new code, including merges/joins and macros. Experience using SAS required. Experience using Python and R strongly preferred. Expertise cleaning, analyzing, statistical modeling, and reporting using large Medicare, Medicaid, MEPS, or other commercial claims or survey data. Knowledge of data analysis and data management techniques. Strong problem solving and troubleshooting skills. Knowledge and experience with advanced analytic techniques.    Skills Skilled in data management, data processing, and quantitative analytics. Adept at managing multiple tasks simultaneously and prioritizing effectively. Excellent organizational and time management skills. Includes the ability to produce consistent, high-quality deliverables while meeting tight deadlines.