Senior Medicaid Data Analyst: Fraud Detection & Insights

General Dynamics Information Technology, Inc.; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

General Dynamics Information Technology, Inc. seeks a Sr. Healthcare Data Analyst to turn Medicaid data into actionable insights for CMS.

The role focuses on advanced analytics, visualization, and reporting to detect fraud, waste, or abuse and to support program oversight. The successful candidate will analyze large T-MSIS datasets, develop rules, and present findings to diverse audiences, helping shape policy and program decisions while collaborating with leadership and teammates to deliver

Qualifications

• Bachelor's degree required with 8+ years of Medicaid data analysis experience.
• Experience with T-MSIS data and advanced analytics.
• Strong SQL, Python, Tableau and data visualization skills.
• Experience building analytics to detect fraud, waste, or abuse in Medicaid.

Responsibilities

• Perform data analysis, interpretation, and reporting duties; develop rules and methodologies for data collection and analysis.
• Conduct research of vulnerabilities and high-risk areas within the Medicaid program using policy understanding and claims analysis.
• Present analytic findings clearly to diverse audiences using written, verbal, and visualization techniques.
• Use critical thinking to understand program rules and how data can inform decision making.
• Work with large datasets to uncover patterns relevant to program oversight and action.
• Collaborate with leadership and team members to identify solutions to complex challenges.

Skills

T-MSIS experience

Data analysis

Policy understanding

Visualization

Education

Bachelor's Degree

Tools

SQL

Python

Tableau

Databricks

Snowflake

Job description

General Dynamics Information Technology, Inc. seeks a Sr. Healthcare Data Analyst to turn Medicaid data into actionable insights for CMS.

The role focuses on advanced analytics, visualization, and reporting to detect fraud, waste, or abuse and to support program oversight. The successful candidate will analyze large T-MSIS datasets, develop rules, and present findings to diverse audiences, helping shape policy and program decisions while collaborating with leadership and teammates to deliver