Sr. Healthcare Data Analyst (Medicaid)

Remote, USA Full-time Posted 2026-04-04
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Deliver insights to help our clients turn data into action as a Sr. Healthcare Data Analyst at GDIT. Your work will provide transformative solutions to our clients’ big-data opportunities and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator. As a Sr. Healthcare Data Analyst you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Analyst Associate joining our team to support the Centers for Medicare & Medicaid Services (CMS) mission to detect and prevent fraud, waste, or abuse across the Medicare and Medicaid program through advanced analytics and data visualization solutions.

    Responsibilities:
  • Performs data analysis, interpretation, and reporting duties. Develops rules and methodologies for data collection and analysis.
  • Works with a team to conduct analysis and present findings to our team and customer.
  • Collaborate with leadership and team members to identify solutions to complex challenges.
  • Use critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making.
  • Utilize analytic skills including ability to efficiently work with large datasets to uncover patterns and trends that are meaningful to program oversight and action.
    Required Skills:
  • Must have at least 3 years of experience conducting analysis of Medicaid claims data and presenting findings.
  • Bachelor of Arts/Bachelor of Science and 5+ years of related experience using technology to conduct analysis and report findings.
  • Experience using SQL, Python, Tableau, Databricks, Snowflake or similar analytic, reporting, and dashboard/visualization tools.
    Desired Skills:
  • Experience building advanced analytic solutions meeting business challenges through understanding of Medicare and Medicaid policy.
  • Experience building analytics and visualization solutions to detect and prevent fraud, waste, or abuse.

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