Description
As a Data Analyst Senior at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward. You'll work on impactful projects for the Centers for Medicare and Medicaid Services (CMS), leading project teams through analyses and tool development to detect and prevent fraud, waste, and abuse (FWA) in the Medicaid and Medicare programs.
Responsibilities:
- 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
Requirements:
- 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
- Minimum of 5+ years of experience conducting advanced analyses, including at least 1 year leading team-based analytics projects from concept through delivery
- 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)
- Strong relationship building skills both internally and externally; Customer service-oriented and solution-focused attitude
Benefits:
- 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