Sr. Healthcare Data Analyst (Medicaid)

Role overview

Accountabilities

• Perform advanced analysis, interpretation, and reporting of Medicaid data and develop methodologies supporting program oversight.
• Analyze large datasets to identify patterns, trends, anomalies, vulnerabilities, and high-risk areas.
• Combine Medicaid policy knowledge with claims analysis to investigate potential fraud, waste, abuse, and program integrity concerns.
• Develop analytical rules and solutions that translate complex healthcare data into actionable insights.
• Apply exploratory research and critical thinking to understand program requirements and support decision-making.
• Build visualizations, dashboards, and reports for technical and non-technical audiences.
• Present analytical conclusions and recommendations through written, verbal, and visual communication.
• Collaborate with leadership and multidisciplinary team members 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 at least 5 years of professional Medicaid data analysis experience.
• Strong hands-on experience with T-MSIS data and Medicaid datasets.
• Proficiency with SQL, Python, Tableau, Databricks, Snowflake, or comparable technologies.
• Ability to work with large and 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 with confidence presenting to stakeholders and leadership.
• Ability to collaborate, work independently, prioritize, and take ownership of complex assignments.
• Ability to obtain and maintain the required NACI (Tier 1) public trust designation.
• Willingness to work remotely with limited travel expected to be less than 10%.

Workplace and schedule

• The role is fully remote with limited travel expected to be less than 10%.
• The position is full time at approximately 40 hours per week.

Compensation

• The estimated salary range is $106,250 to $143,750 USD annually, with final compensation based on experience, location, and contractual considerations.

Benefits

• Benefits include medical, dental, vision, retirement matching, paid leave, parental leave, disability coverage, life insurance, and other insurance offerings.
• The role offers professional growth through advanced analytics, visualization, and large-scale healthcare data work.