Medicaid Data & Analytics Specialist

We welcome data analysts, healthcare analysts, researchers, statisticians, informatics professionals, and experienced Medicaid reporting specialists. Technical requirements will vary by opportunity.

Responsibilities

* Analyze Medicaid claims, encounter, enrollment, eligibility, provider, or program data.
* Assess utilization, expenditures, access to care, and program outcomes.
* Clean, validate, and document datasets.
* Develop performance measures, dashboards, and recurring reports.
* Identify trends, data quality issues, and opportunities for improvement.
* Support program evaluation and operational analysis.
* Explain analytical methods, assumptions, and limitations.
* Present findings clearly to technical and nontechnical stakeholders.
* Follow applicable privacy, security, and data-handling requirements.

Requirements

Qualifications

* Experience analyzing Medicaid or closely related healthcare data.
* Strong analytical skills and attention to data quality.
* Proficiency with relevant tools such as Excel, SQL, SAS, R, Python, Power BI, or Tableau; proficiency in every tool is not required.
* Ability to communicate findings clearly and connect them to program decisions.
* Experience documenting analytical work so others can understand and review it.

Preferred Experience

* Medicaid claims or encounter data analysis.
* State Medicaid agency or managed care reporting.
* Quality measurement, cost analysis, risk adjustment, or program evaluation.
* Large healthcare datasets and secure analytical environments.
* Familiarity with T-MSIS or other Medicaid data sources.

Benefits

Opportunity Details

We welcome candidates interested in full-time employment or project-based engagements. We are recruiting for current and anticipated opportunities; immediate placement is not guaranteed.

Responsibilities, compensation, employment arrangement, and start date will be discussed based on the opportunity and your skills.

How to Apply

Submit your résumé or professional profile highlighting relevant datasets, analytical projects, and tools. Please indicate your preferred employment arrangement. Do not include confidential client information or protected health information.