Sr. Healthcare Data Analyst (Medicaid)

Role overview

Accountabilities

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

Requirements

• A relevant bachelor's degree and at least five years of professional Medicaid data analysis experience are required.
• Strong hands-on T-MSIS and Medicaid dataset experience is required.
• Proficiency with SQL, Python, Tableau, Databricks, Snowflake, or comparable technologies is required.
• Experience with large and complex datasets, actionable pattern discovery, and advanced analytical solutions is required.
• A strong understanding of Medicaid policy and healthcare fraud, waste, and abuse analytics is required.
• Strong statistical analysis, research, data interpretation, problem-solving, communication, and collaboration skills are required.
• Ability to obtain and maintain NACI Tier 1 public trust designation is required.
• Remote work with limited travel of less than 10% is expected.

Compensation

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

Workplace and schedule

• The role is fully remote.
• The position is full-time and approximately 40 hours per week.
• Limited travel is expected to be less than 10%.

Benefits

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