> Markdown version of [/jobs/ext/3696103-medicaid-data-analytics-specialist](https://www.wearedevelopers.com/jobs/ext/3696103-medicaid-data-analytics-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Medicaid Data & Analytics Specialist - **Company:** ONE STOP COLLECTIBLE CORP - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, R (Programming Language), Python (Programming Language), Power BI, SAS (Software), SQL Databases, Tableau (Software), Data Management - **Published:** October 12, 2026 - **Apply:** https://startup.jobs/medicaid-data-analytics-specialist-alphax-10408106 ## About the Role * 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. ## Description * 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.