Medicaid Data & Analytics Specialist

About Us

AlphaGov supports government and public-sector organizations with analytics, program evaluation, operational improvement, and data-informed decision-making.

We are seeking professionals who can turn Medicaid and healthcare data into useful insights and practical recommendations.

About the Role

The Medicaid Data & Analytics Specialist will support analysis of program performance, utilization, costs, access, quality, eligibility, or enrollment.

We welcome data analysts, healthcare analysts, researchers, statisticians, informatics professionals, and experienced Medicaid reporting specialists. Technical requirements will vary by opportunity.

Responsibilities

• Analyze Medicaid claims, encounter, enrollment, eligibility, provider, or program data.
• Assess utilization, expenditures, access to care, and program outcomes.
• Clean, validate, and document datasets.
• Develop performance measures, dashboards, and recurring reports.
• Identify trends, data quality issues, and opportunities for improvement.
• Support program evaluation and operational analysis.
• Explain analytical methods, assumptions, and limitations.
• Present findings clearly to technical and nontechnical stakeholders.
• Follow applicable privacy, security, and data-handling requirements.

About UsAlphaGov supports government and public-sector organizations with analytics, program evaluation, operational improvement, and data-informed decision-making.We are seeking professionals who can turn Medicaid and healthcare data into useful insig...

Qualifications

• Experience analyzing Medicaid or closely related healthcare data.
• Strong analytical skills and attention to data quality.
• Proficiency with relevant tools such as Excel, SQL, SAS, R, Python, Power BI, or Tableau; proficiency in every tool is not required.
• Ability to communicate findings clearly and connect them to program decisions.
• Experience documenting analytical work so others can understand and review it.

Preferred Experience

• Medicaid claims or encounter data analysis.
• State Medicaid agency or managed care reporting.
• Quality measurement, cost analysis, risk adjustment, or program evaluation.
• Large healthcare datasets and secure analytical environments.
• Familiarity with T-MSIS or other Medicaid data sources.