Data Analyst, Senior (Medicaid/Medicare)

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Analytical Thinking, Data Analytics, Data Science, Problem Solving, US Healthcare Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: 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 The likely salary range for this position is $93,500 - $126,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None T elecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of pa