Senior Data Analyst - Healthcare Fraud & Analytics (Remote)

General Dynamics Information Technology, Inc.; United States; Remote; USD 110,000 - 140,000; Full time

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Analyst Senior to lead analytics and machine learning initiatives within CMS programs.

The role focuses on analyzing healthcare claims data, simplifying complex results for diverse audiences, and partnering with SMEs to deliver actionable insights. The position emphasizes remote work (100%), collaboration across teams, and driving continuous improvement in data management practices.

Qualifications

• 5+ years of experience conducting advanced analyses and leading analytics projects
• Experience leading team-based analytics projects from concept to delivery
• Deep knowledge of U.S. healthcare systems and analyzing healthcare claims data
• Proficiency in SQL and familiarity with R or Python for data science
• Strong relationship-building and customer-focused attitude
• CAP certification is preferred; experience with fraud detection data

Responsibilities

• Lead analytics and machine learning projects from concept to delivery
• Guide teams and perform advanced statistical analysis on claims data
• Use predictive modeling to improve efficiencies and outcomes
• Present findings to technical and non-technical audiences including leadership
• Collaborate with subject matter experts to deliver actionable insights
• Communicate effectively while working remotely and manage additional duties

Skills

SQL

Python or R

Data analysis

Communication

Education

Bachelor's degree in analytics/ STEM

Tools

Databricks

Snowflake

Job description

General Dynamics Information Technology, Inc. is seeking a Data Analyst Senior to lead analytics and machine learning initiatives within CMS programs.

The role focuses on analyzing healthcare claims data, simplifying complex results for diverse audiences, and partnering with SMEs to deliver actionable insights. The position emphasizes remote work (100%), collaboration across teams, and driving continuous improvement in data management practices.