Healthcare Cost Analytics Lead

Highmark Health; Charleston (WV); On-site; USD 79,000 - 127,000; Full time

Job summary

Highmark Inc. is seeking a skilled Medical Cost Analytics professional to translate large healthcare data into strategic cost insights. You will develop the analytics narrative, track program outcomes, and present findings to executives to influence decisions.

The role requires strong technical data skills (SAS/SQL/R/Tableau) and the ability to communicate complex results to cross-functional partners in a matrixed environment.

Qualifications

• Bachelor's degree in business, health, economics, mathematics/actuarial sciences or related field.
• Advanced degree preferred for deeper analytics.
• Minimum 5 years in medical economics, healthcare analytics, informatics or actuarial services in payer setting.

Responsibilities

• Provide strategic insights into emerging medical cost trends with executive-ready presentations.
• Extract, summarize, and analyze large datasets using SAS, SQL or similar tools.
• Assess opportunities and project savings for strategic medical cost programs.
• Develop independent medical cost analytics and present findings to business partners.
• Communicate clearly with verbal and executive-quality presentations.

Skills

Analytical ability

Data storytelling

Communication with executives

Healthcare analytics knowledge

SAS / SQL / R / Tableau / Excel

Education

Bachelor's Degree in Business, Health, Economics, Mathematics/Actuarial Sciences or related area

Master's Degree in Business, Health, Economics, Mathematics/Actuarial Sciences or related area

Tools

SAS

SQL

R

Tableau

Power BI

R Shiny

Job description

Highmark Inc. is seeking a skilled Medical Cost Analytics professional to translate large healthcare data into strategic cost insights. You will develop the analytics narrative, track program outcomes, and present findings to executives to influence decisions.

The role requires strong technical data skills (SAS/SQL/R/Tableau) and the ability to communicate complex results to cross-functional partners in a matrixed environment.