Specialty Care Data Management and Analytics Support Specialist

Job Summary We are seeking a skilled Data Management and Analytics Support Specialist to support the VHA Specialty Care Program Office in delivering data-driven programmatic insights across the Veterans Health Administration. In this role, you will work within an exceptional team within a federal contracting environment to extract, analyze, and interpret complex healthcare data from a wide range of VHA systems and files to inform strategic decision-making and operational improvements. Your vital work will directly contribute to the quality of care and administrative efficiency delivered to our nation's Veterans. The ideal candidate is a highly detail-oriented data professional with deep experience with VHA enterprise systems who thrives in a fast-paced federal healthcare environment and communicates complex analytical findings clearly to both technical and non-technical stakeholders. A self-starter comfortable working independently while also collaborating across multidisciplinary teams within a complex program office and agency environment will excel in this position. Primary Responsibilities Access, query, and extract data from VHA enterprise systems and files including CDW, VistA, VSSC, RAMP, PTF (MedSAS), MCA System, PCMM, NPCD, and the VETSNET Corporate Mini Master File to support programmatic reporting and analysis. Develop and apply advanced computerized models and algorithms to identify, extrapolate, and validate data patterns that support Specialty Care Program Office decision-making and future business trend forecasting. Design and produce clear, accurate data visualizations including graphs, charts, dashboards, and summary reports that translate complex mathematical and statistical information into accessible formats for program managers and leadership. Present analytical findings and data-driven recommendations to program managers and senior stakeholders, advising on how to best adjust business models and operational strategies to achieve favorable progr