[Hiring] Healthcare Claims Data Analyst @General Dynamics Information Technology

Role Description

At GDIT, people are our differentiator. Our work depends on a Data Analyst joining our team to support Centers for Medicare and Medicaid Services anti-fraud activities.

As a Data Analyst supporting the Healthcare Fraud Prevention Partnership (HFPP), you will:

• Develop fraud, waste and abuse (FWA) analytics from concept to finished product at the Trusted Third Party (TTP).
• Work against a multi-billion record claims warehouse assembled from dozens of public and private healthcare payers.
• Engage with healthcare claims and FWA analytics alongside experienced Subject Matter Experts.
• Translate Partner and client requests into specifiable analytic questions.
• Develop FWA analytics end to end, building the analytic logic in SQL and Python against billions of claim records.
• Document methodology, assumptions and data lineage for reproducibility.
• Document findings and present results to internal stakeholders.
• Manage several concurrent requests against firm deadlines.

Qualifications

• Bachelor's degree in a quantitative or health-related field, or equivalent hands-on experience.
• 4+ years writing SQL against large relational data.
• Working proficiency in Python for data analysis.
• Demonstrated ability to turn an ambiguous request into a defined analytic question.
• Experience documenting analytic work for reproducibility.
• Ability to explain analytic results clearly to non-analysts.
• Accuracy, attention to detail, and organizational discipline.
• US citizen or Permanent Resident.
• Must be able to obtain/maintain Public Trust.

Requirements

• Experience with healthcare claims data (Medicare, Medicaid or commercial).
• Exposure to fraud, waste and abuse, program integrity, payment integrity or utilization review work.
• Experience with Snowflake and SnowSQL, or a comparable cloud data warehouse.
• Version control (Git) and collaborative code review practices.
• Familiarity with payer coverage policy and common industry claim edits.
• Experience using Tableau or other data visualization software.

Benefits

• Competitive pay and benefits.
• Flexible work schedule.
• Collaborative inter-disciplinary environment.
• 15 days of paid leave per calendar year.
• 10 paid holidays per year.
• Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period.
• Short and long-term disability benefits.
• Life, accidental death and dismemberment, and critical illness insurance.