Risk Adjustment Analytics & Enablement Leader (Hybrid)

hcsc

United States

Hybrid

USD 102,000 - 184,000

Full time

6 days ago
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Job summary

Health Care Service Corporation (HCSC) is seeking a leader for Risk Adjustment Execution & Enablement in Chicago or Richardson. The role drives analytics and reporting on health data, guiding a team of analysts to deliver insights that shape risk adjustment programs.

The position requires building strong relationships with customers and stakeholders, managing large-scale data operations, and mentoring teams in quantitative methods and data analysis.

Qualifications

  • Bachelor and 3 years' experience presenting analytics results/insights to audiences at different levels OR 6 years analytics experience.
  • 4 years' experience in data analysis and information reporting.
  • 1 year leadership and/or supervisory experience
  • Experience with negotiation, decision making, organizational, and analytical skills.

Responsibilities

  • Lead analytical and reporting tools and healthcare data sets to produce insights that improve the division's business.
  • Oversee large-scale medical record retrieval operations and data processing.
  • Coordinate with internal partners and external vendors to support risk adjustment programs.
  • Develop the team’s analytical capabilities and knowledge of analytical methods and statistics.

Skills

Analytical leadership
Stakeholder communication
SQL & SAS experience
Teradata or similar
Problem solving
PC skills: Excel, Access, PowerPoint
Negotiation & decision making
Interpersonal skills

Education

Bachelor's degree
Math/Statistics/Actuarial preferred

Tools

SQL
SAS
Teradata
Alteryx

Job description

Health Care Service Corporation (HCSC) is seeking a leader for Risk Adjustment Execution & Enablement in Chicago or Richardson. The role drives analytics and reporting on health data, guiding a team of analysts to deliver insights that shape risk adjustment programs.

The position requires building strong relationships with customers and stakeholders, managing large-scale data operations, and mentoring teams in quantitative methods and data analysis.

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