Data Analyst, Senior (Medicaid/Medicare)
About The Position
The Senior Data Analyst will support the Centers for Medicare and Medicaid Services (CMS) by leading analytics and machine learning projects to detect and prevent fraud, waste, and abuse in Medicaid and Medicare programs. The role combines project-team leadership with hands-on analysis of healthcare claims data and advanced statistical analysis. The analyst will use predictive modeling to improve efficiency, processes, and business outcomes; work with subject matter experts to produce actionable findings; and communicate complex analyses to technical and non-technical audiences and leadership. The position also identifies opportunities to use Medicare and Medicaid data for fraud, waste, and abuse solutions and promotes best practices in data management and analytics. The role is 100% remote, with no travel required.
Requirements
- At least 5 years of experience conducting advanced analyses, including at least 1 year leading team-based analytics projects from concept through delivery.
- Bachelor of Arts or Science degree with an analytical or technical focus, or an equivalent combination of education, professional training, or work experience.
- Deep knowledge of U.S. healthcare systems and expertise analyzing healthcare claims data.
- Strong analytical, 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.
- Must have lived in the United States for at least 3 of the 5 years before undergoing the Public Trust background investigation and submitting an application for a Federal ID Card.
- Work visa sponsorship is not available.
Nice To Haves
- Bachelor's degree.
- Certified Analytics Professional (CAP) certification.
- Healthcare claims analysis expertise, preferably for fraud detection.
- Familiarity with Databricks and/or Snowflake.
Responsibilities
- Lead analytics and machine learning projects from concept to completion, ensuring strategic alignment and actionable results for detecting and deterring fraud, waste, and abuse.
- Guide project teams in completing technical tasks while conducting hands-on claims data analysis and advanced statistical analysis as needed.
- Use predictive modeling to improve efficiencies, processes, and 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 leaders at various levels.
- Identify opportunities to leverage Medicare and Medicaid data for fraud, waste, and abuse solutions.
- Advocate for and help implement data management and analytics best practices and continuous improvement.
- Communicate effectively with team members while working remotely.
- Perform additional duties as assigned.
Benefits
- Comprehensive medical plan options, including some with Health Savings Accounts.
- Dental and vision plan options.
- 401(k) plan with company match.
- Full-flex work weeks where possible.
- Paid time off plans, including vacation, sick and personal time.
- Paid holidays.
- Paid parental, military, bereavement, and jury duty leave.
- Typically 15 days of paid leave per calendar year for new employees, prorated by hire date.
- Typically 10 paid holidays per year, prorated by hire date.
- Paid Family Leave of up to 160 hours in a rolling 12-month period for eligible employees.
- Short- and long-term disability benefits.
- Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance offerings.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
