Jobs in the United States

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Assistant Manager, Retail Media (Ulta)
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Finance Transformation Associate - Summer 2027
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Vice President Safety
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Quality Control Manager
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General Dynamics Information Technology

Data Analyst, Senior (Medicaid/Medicare)

Fairfax, VA, United States

The likely salary range for this position is $93,500 - $126,500.

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Job details

Pay: The likely salary range for this position is $93,500 - $126,500.
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
Posting language: English
Posted: Nov 4, 2026

Original job description

Req ID: RQ231156

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Skills:

Analytical Thinking,Data Analytics,Data Science,Problem Solving,US Healthcare

Experience:

5 + years of related experience

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.

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 paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at https://gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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More about this job

Skills

Data engineering
Analytical skills
Data analysis
Problem solving
IMPACT
CMS
Machine learning
Statistics
Leadership
Data management
Process improvement
Computer engineering
SQL
R
Python
Relationship building
Customer service
Google Analytics
Fraud detection
Databricks
Snowflake

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Work requirements

Jobs in the United States