Data Analyst, Senior (Medicaid/Medicare)

General Dynamics Information Technology, Inc.; Maryland; Hybrid; USD 94,000 - 127,000; Full time

Benefits offered by this job

401(k) plan with company match

Paid time off

Health benefits

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Analyst Senior to drive data-driven decision making for CMS projects. You will lead analytics initiatives, work on fraud, waste, and abuse detection in Medicare/Medicaid data, and collaborate with cross-functional teams to deliver measurable insights.

The role emphasizes hands-on data analysis, predictive modeling, and presenting results to both technical and non-technical stakeholders. Remote work is supported with a 40-hour week.

Qualifications

• Bachelor's degree in analytical or technical field (Statistics, Computer Engineering, Applied Mathematics) or equivalent.
• 5+ years of experience conducting advanced analyses, including at least 1 year leading analytics projects from concept through 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 (including machine learning).

Responsibilities

• Lead analytics and machine learning projects from concept to completion, ensuring actionable results to detect and deter FWA.
• Guide project teams in technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses 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 clearly to technical and non-technical audiences and leadership.
• Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions.
• Advocate for and implement best practices in data management and analytics.
• Communicate effectively with team members while working remotely.
• Perform additional duties as assigned.

Skills

Analytical Thinking

Data Analytics

Data Science

Problem Solving

US Healthcare

Education

Bachelor's degree in analytical/technical field

Tools

SQL

R or Python

Databricks

Snowflake

Job description

Job Details

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.

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

Qualifications

What you’ll need to succeed: Bring your expertise and drive for innovation to GDIT.

• 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 internal and external; 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 & Additional Requirements

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.

Company Culture

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

Salary

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.

Working Hours

Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations:

Benefits

• 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.

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 gdit.com/tc.

Equal Opportunity Employer

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world.