Sr. Healthcare Data Analyst (Medicaid)

Role overview

Accountabilities

• Perform advanced Medicaid data analysis, interpretation, and reporting to support program oversight.
• Identify patterns, trends, anomalies, vulnerabilities, and high-risk areas in large Medicaid datasets.
• Investigate potential fraud, waste, abuse, and other program integrity concerns through policy and claims analysis.
• Develop analytical rules, methodologies, and solutions for complex healthcare data.
• Build visualizations, dashboards, and reports for technical and non-technical audiences.
• Present findings and recommendations through written, verbal, and visual communication.
• Collaborate with leadership and multidisciplinary teams on complex analytical challenges.
• Support data-driven detection and prevention of fraud, waste, and abuse across Medicaid programs.

Requirements

• Bachelor’s degree in a relevant discipline and 5+ years of professional Medicaid data analysis experience.
• Strong hands-on T-MSIS experience and expertise analyzing Medicaid datasets.
• Proficiency with SQL, Python, Tableau, Databricks, Snowflake, or comparable technologies.
• Ability to analyze large, complex datasets and uncover actionable patterns and trends.
• Experience developing analytical solutions using a strong understanding of Medicaid policy.
• Experience creating solutions to identify and help prevent healthcare fraud, waste, and abuse.
• Strong statistical analysis, research, data interpretation, and problem-solving capabilities.
• Ability to communicate complex findings as clear recommendations to varied audiences.
• Excellent written and verbal communication skills and confidence presenting to stakeholders and leadership.
• Ability to collaborate, work independently, prioritize, and own complex assignments.
• Ability to obtain and maintain NACI Tier 1 public trust designation.
• Willingness to work remotely with less than 10% expected travel.

Core skills

• Medicaid policy and claims analysis.
• T-MSIS data.
• SQL, Python, Tableau, Databricks, and Snowflake.
• Statistical analysis, research, and data visualization.
• Healthcare fraud, waste, and abuse detection.
• Clear communication, collaboration, and independent problem-solving.

Compensation and benefits

• Estimated annual salary is $106,250–$143,750 USD, with final compensation based on experience, location, and contractual considerations.
• Benefits include medical, dental, vision, retirement matching, paid leave, parental leave, disability coverage, and life insurance.

Work arrangement

• Fully remote work environment with flexible work arrangements where applicable.
• Full-time schedule of approximately 40 hours per week.
• Limited travel is expected to be less than 10%.