Data Analyst, Senior (Medicaid/Medicare)

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Analyst Senior at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

MEANINGFUL WORK AND PERSONAL IMPACT:
The work you’ll do at GDIT will be impactful to the mission of the Centers for Medicare and Medicaid Services (CMS). You will be trusted to lead project teams through analyses and tool development to detect and prevent fraud, waste, and abuse (FWA) in the Medicaid and Medicare programs. In this role you will:

• Lead analytics and machine learning projects from concept to completion, ensuring they meet strategic objectives and include actionable results to detect and deter FWA
• Guide project teams in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analysis when needed
• Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes
• Partner with subject matter experts to deliver quality, actionable findings
• Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership
• Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions
• Advocate for and help implement best practices in data management and analytics to drive continuous improvement
• Effectively communicate with team members while working remotely
• Perform additional duties as assigned

WHAT YOU’LL NEED TO SUCCEED:
Bring your expertise and drive for innovation to GDIT. The Data Analyst Senior must have:

• Education: Bachelor of Arts or Science degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics) or the equivalent combination of education, professional training or work experience
• Required Experience: Minimum of 5+ years of experience conducting advanced analyses, including at least 1 year leading team-based analytics projects from concept through delivery
• Required Technical Skills: Deep knowledge of U.S. healthcare systems and an expertise in analyzing healthcare claims data; Sound analytic, problem solving, and qualitative skills; Ability to understand, simplify and explain data in business terms to technical and non-technical audiences; Proficiency in SQL and familiarity with R or Python for data science (including machine learning)
• Attributes for Success: Strong relationship building skills both internally and externally; Customer service oriented and solution focused attitude
• Preferred Skills: Bachelor's degree is preferred; Certified Analytics Professional (CAP); expertise in analyzing healthcare claims data, preferably for the use of fraud detection; Familiarity with Databricks and/or Snowflake
• Location: Remote 100%; no travel required
• Security Clearance Level: Requires a Public Trust - Applicants shall have lived in the United States at least 3 out of the last 5 years prior to going through the public trust background investigation and submitting an application for a Federal ID Card
• Work visa sponsorship will not be considered for this role.

This position does not accept submissions from third‑party agencies or corp‑to‑corp entities. Only direct applicants are eligible for consideration.

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Flexibility: Full-flex work week to own your priorities at work and at home
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#GDITFedHealthJobs

#GDITHealth

#GDITPriority