Medicaid Data & Analytics Specialist

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $85k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 20%

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Logo of AlphaHire

AlphaHire

11 - 50 employees

Founded 2018

🏗️ Construction

💼 Consulting

📦 Logistics

Construction • Consulting • Logistics

Founded in 2018, AlphaHire provides workforce intelligence for capital-intensive markets. Its Workforce Intelligence Platform helps executives evaluate execution risk before committing to projects, bids, expansion, acquisitions, investments, and growth strategies.

📋 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

🎯 Requirements

• 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: Medicaid claims or encounter data analysis • Preferred: State Medicaid agency or managed care reporting • Preferred: Quality measurement, cost analysis, risk adjustment, or program evaluation • Preferred: Large healthcare datasets and secure analytical environments • Preferred: Familiarity with T-MSIS or other Medicaid data sources • Submit a résumé or professional profile highlighting relevant datasets, analytical projects, and tools • Do not include confidential client information or protected health information

🏖️ Benefits

• Full-time employment or project-based engagement opportunities • Compensation and employment arrangement discussed based on the opportunity and skills • Current and anticipated opportunities

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