Healthcare Analytics & Decision Support Specialist

Highmark Health; Pittsburgh (Allegheny County); On-site; USD 95,000 - 125,000; Full time

Job summary

Highmark Inc. is seeking an Analytics professional to support Medicaid value-based care initiatives through advanced analytics, reporting, and data-driven insights.

You will partner with business, clinical, and operational teams to evaluate value-based arrangements and identify opportunities to improve quality and costs, delivering actionable recommendations. Responsibilities include developing and maintaining reports, dashboards, and analytical models; interpreting complex healthcare data; and

Qualifications

• Bachelor’s Degree in Computer/Information Science, Mathematics/Statistics, Economics, or related field or relevant experience as determined by the company
• 3+ years of relevant experience in analytics, data modeling, or operations research is typically expected
• Experience with SQL to query and analyze large healthcare datasets; Tableau experience is a plus

Responsibilities

• Develop and maintain reports, dashboards, and analytical models.
• Interpret complex healthcare data and translate findings into actionable recommendations.
• Collaborate with business, clinical, provider, and operational stakeholders.
• Lead in defining issues and approaches for analyses and projects.
• Mentor colleagues on technical and business aspects of analytics.
• Ensure secure, compliant handling of data and knowledge delivery.

Skills

Analytics

Communication

Problem-solving

Mentorship

Report development

Education

Bachelor's Degree in CS/IS/Math/Econ or related

Tools

SAS

R

SQL

DB2

Teradata

Oracle

Job description

Highmark Inc. is seeking an Analytics professional to support Medicaid value-based care initiatives through advanced analytics, reporting, and data-driven insights.

You will partner with business, clinical, and operational teams to evaluate value-based arrangements and identify opportunities to improve quality and costs, delivering actionable recommendations. Responsibilities include developing and maintaining reports, dashboards, and analytical models; interpreting complex healthcare data; and