This is a Fully Remote Job
About Our Client:
This organization operates in the health insurance sector, focusing on improving Medicare Advantage for individuals aged 65 and over. It addresses challenges related to social determinants of health by adopting a community-based approach that places physicians and members at the center of healthcare delivery. The company supports members with personalized care plans, tailored access to healthcare facilities, and dedicated care teams to facilitate a smooth transition and ongoing health management.
About the Opportunity:
The SENIOR HEALTHCARE DATA ANALYST role is designed for an experienced professional skilled in transforming complex healthcare data into actionable insights. This position is responsible for evaluating programs, assessing provider performance, identifying cost and utilization trends, and measuring health outcomes across multiple healthcare datasets. The role significantly contributes to the organization by independently leading analyses that inform strategic decision-making and improve healthcare delivery effectiveness.
Responsibilities:
- Lead complex healthcare analyses from business questions through to recommendations
- Analyze medical, pharmacy, eligibility, provider, and member data to identify trends and performance drivers
- Evaluate clinical, operational, provider, and member engagement programs
- Develop statistically sound methodologies to assess outcomes and effectiveness
- Identify opportunities for cost, utilization, quality, risk adjustment, and population health improvement
- Validate analytical results and communicate data limitations and assumptions
- Extract, transform, and analyze large datasets using SQL
- Perform statistical analyses and predictive modeling using R and/or Python
- Develop reusable analytical frameworks to enhance consistency and scalability
- Collaborate with Data Engineering and Business Intelligence teams to improve data quality and reporting
- Maintain analytical integrity through governance and validation standards
- Partner with leaders across multiple departments to translate business questions into analyses
- Provide regular project updates and present findings in an executive-ready format
- Recommend new analytical approaches and stay current with healthcare analytics best practices
Requirements:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, Public Health, Healthcare Informatics, or Computer Science
- Medicare Advantage experience
- Minimum five years in healthcare analytics or related roles
- Advanced SQL skills with complex query optimization
- Proficiency in R and/or Python for statistical analysis and modeling
- Strong knowledge of healthcare claims, eligibility, pharmacy, and provider data
- Experience designing comparative analyses, cohort studies, and program evaluations
- Ability to manage projects independently and communicate complex findings clearly
- Preferred: Experience with Stars, HEDIS, Risk Adjustment, Provider Performance, causal inference, predictive modeling, regression, experimental design, and data visualization tools
- Preferred: Advanced degree in a relevant quantitative discipline
Pay Range and Compensation Package:
- The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.