Senior Health Analyst, 32BJ SEIU Health Fund
Category : Alumni
Summary: 32BJ Health Fund is looking for a talented Senior Health Analyst II to drive forward complex analyses on claims data to generate insights that inform strategic decisions of the Executive leadership. This person needs to be passionate about working with dirty data, be flexible in dealing with ambiguity, be a mentor to others and be a master storyteller.
Essential Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Support the Health Fund’s commitment to improving lives of 32BJ members by providing high-quality health benefits
- Develop and execute analyses on claims data to measure trends in utilization and costs of healthcare services
- Evaluate performance of current benefit plans to identify opportunities for improvement in quality and cost
- Coordinate resources to support other internal units within the Fund to facilitate outreach to members
- Summarize highly complex data insights into compelling stories and accurate results
- Review and QA work produced by Senior Health Analysts and provide them with direction and technical advice
- Effectively communicate findings and recommendations to the Executive leadership
- Provide direction and support to help analysts overcome technical issues, setting of priorities and developing timelines
- Identify areas for future focus and opportunities to develop impactful projects
- Establish collaborative relationships with vendors and other partners to improve care
Technical Qualifications: The requirements listed below are representative of the knowledge, skill, and/or ability required.
- At least three (3) years of work experience in health claims analytics and leading projects
- Strong health care policy, research and statistics background
- Project management and/or people management experience preferred
- Strong writing and presentation skills with the ability to express complex analyses in a simple to understand language and visuals
- Knowledge of common statistical approaches to hypothesis testing and bias reduction in observational studies
- Must have a strong knowledge of ICD9/10, Revenue, DRG and CPT coding and general health care reimbursement methodologies
- Strong knowledge of Stata statistical software is preferred
- Some experience with SQL, Python, and QlikView is desirable
Work Ethic:
- Ability to manage multiple workflows with excellent organizational and analytical skills. Passion to understand and pursue outlying data points and to clarify opaque findings
- Ability to find insights in data and to effectively share findings with technical and non-technical audiences
- Team oriented and very collaborative
- Ability to prioritize work, seek support when needed, communicate timelines and meet deadlines
Education and/or Experience: Master’s degree in Public Health or a related field is strongly preferred.
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