Care Pathways & Engagement Analytics Lead

Blue Cross and Blue Shield of North Carolina; Arizona; Hybrid; USD 89,000 - 143,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Parental leave and surrogacy support

Tuition reimbursement and career dev.

401k match with company contribution

Job summary

Blue Cross NC (CuraCor Solutions) seeks a Care Pathway & Patient Engagement Analyst to advance affordability initiatives through analytics, engagement insights, and care pathway optimization. You will partner with Utilization Management, Care Management, Network, Pharmacy, Actuarial, Finance, Technology, and Clinical teams to deliver impactful analytics and recommendations.

The role emphasizes predictive modeling, geospatial analysis, and KPI-driven decision support, with a focus on improving

Qualifications

• Bachelor’s degree or advanced degree required or equivalent experience.
• Minimum 5+ years of experience in related field; 7+ years if no degree.
• Experience in healthcare analytics or health plan analytics is a plus.

Responsibilities

• Conduct claims and other analyses focused on care pathways and affordability opportunities.
• Develop analytic frameworks to identify interventions and engagement opportunities.
• Build predictive models and targeting methodologies for member outreach.
• Execute analyses with rigorous measurement approaches including A/B testing.
• Translate analytical findings into actionable recommendations for leaders.

Skills

Healthcare analytics

Data visualization

Statistical analysis

Education

Bachelor’s degree or advanced degree

Tools

SQL

Python

R

Job description

Blue Cross NC (CuraCor Solutions) seeks a Care Pathway & Patient Engagement Analyst to advance affordability initiatives through analytics, engagement insights, and care pathway optimization. You will partner with Utilization Management, Care Management, Network, Pharmacy, Actuarial, Finance, Technology, and Clinical teams to deliver impactful analytics and recommendations.

The role emphasizes predictive modeling, geospatial analysis, and KPI-driven decision support, with a focus on improving