Senior Healthcare Analytics Lead - Medicaid Fraud & Insights

General Dynamics Information Technology (GDIT); Fairfax (VA); Vor Ort; USD 113.000 - 144.000; Vollzeit

Benefits dieser Stelle

Health plan options

401(k) match

Flexible work weeks

Paid time off

Paid holidays

Paid family leave

Zusammenfassung

General Dynamics Information Technology (GDIT) is seeking a Sr. Healthcare Data Analyst to deliver insights that turn data into action for CMS and Medicaid programs.

You will contribute to identifying fraud, waste, or abuse through advanced analytics and data visualization, collaborating with leadership and teams across the organization. With 8+ years of T-MSIS experience and a strong command of SQL, Python, Tableau, Databricks, and Snowflake, you will translate complex data into actionable

Qualifikationen

• Bachelors Degree required with 8+ years of T-MSIS experience.
• Experience with SQL, Python, Tableau, Databricks, Snowflake or similar tools.
• Experience applying Medicaid policy to analytics and reporting.
• Experience building analytics/visualization solutions to detect fraud, waste or abuse.

Aufgaben

• Perform data analysis, interpretation, and reporting duties.
• Conduct vulnerability research and high-risk area analysis within Medicaid.
• Present analytic findings using written, verbal, and visualization methods to diverse audiences.
• Understand program rules and how data informs decisions for oversight.
• Work with large datasets to uncover meaningful patterns and trends.
• Collaborate with leadership to identify solutions to complex challenges.

Kenntnisse

SQL

Python

Tableau

Databricks

Snowflake

Medicaid policy

Ausbildung

Bachelor's degree

Jobbeschreibung

General Dynamics Information Technology (GDIT) is seeking a Sr. Healthcare Data Analyst to deliver insights that turn data into action for CMS and Medicaid programs.

You will contribute to identifying fraud, waste, or abuse through advanced analytics and data visualization, collaborating with leadership and teams across the organization. With 8+ years of T-MSIS experience and a strong command of SQL, Python, Tableau, Databricks, and Snowflake, you will translate complex data into actionable