Company Overview:
Zing Health is a tech-enabled heath insurance company making Medicare Advantage the best it can be for those 65-and-over. Zing Health has a community-based approach that recognizes the importance of the social determinants of health in keeping individuals and communities healthy. Zing Health aims to return the physician and the member to the center of the health care equation. Members receive individualized assistance to make their transition to Zing Health as easy as possible. Zing Health offers members the ability to personalize their plans, access to facilities designed to help them better meet their healthcare needs and a dedicated care team. For more information on Zing Health, visit www.myzinghealth.com.
SUMMARY DESCRIPTION:
Zing Health is seeking a Senior Healthcare Data Analyst to join the Enterprise Reporting & Analytics organization. This role is designed for an experienced analytical professional who excels at transforming complex business questions into actionable insights and recommendations.
The Senior Healthcare Data Analyst will work across claims, eligibility, pharmacy, provider, and clinical datasets to evaluate programs, assess provider performance, identify cost and utilization trends, and measure health outcomes. The ideal candidate combines strong technical and statistical skills with intellectual curiosity, healthcare domain expertise, and the ability to independently lead analyses from problem definition through stakeholder recommendations.
This position requires a self-directed professional who can manage multiple priorities, communicate effectively with business partners, and confidently present findings, implications, limitations, and next steps.
ESSENTIAL FUNCTIONS:
Analytics & Insights
- Independently lead complex healthcare analyses from business questions through recommendation
- Analyze medical, pharmacy, eligibility, provider, and member data to identify trends, opportunities, and drivers of performance
- Design and execute analyses evaluating clinical, operational, provider, and member engagement programs
- Develop statistically sound comparisons, cohorts, and methodologies to assess outcomes and effectiveness
- Identify cost, utilization, quality, risk adjustment, and population health improvement opportunities
- Validate analytical results and clearly communicate data limitations, assumptions, and areas of uncertainty
Data Management & Modeling
- Extract, transform, and analyze large healthcare datasets using SQL
- Utilize R and/or Python to perform statistical analyses, predictive modeling, and data exploration
- Develop reusable analytical frameworks and methodologies to improve consistency and scalability
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