Health Data Analytics Consultant
About the position For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human services consulting and policy analysis firm, brings 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors. In the wide-ranging field of health human services consulting, OSC/Lewin provides both depth and breadth of expertise. Currently, OSC/Lewin has more than 250 consultants drawn from industry, government and academia. They all share a solid commitment to OSC/Lewin's core values of objectivity, integrity, analytical innovation, vision, and dedication to client satisfaction. At OSC/Lewin, we help federal, state, and other decision-makers strengthen health and human services programs, make informed policy choices, and implement critical initiatives. The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.
Responsibilities
- Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
- Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
- Work with clients to verify analysis parameters and specifications
- Utilize machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
- Efficiently query large databases of healthcare claims and eligibility data
- Write detailed specifications and documentation of data processing and analytical steps
- Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
- Maintain a consistently high degree of accuracy and attention to detail in all tasks
- Work effectively and cooperatively as a member of project teams
- Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks
Requirements
- 4+ years of experience in health/analytics related field
- 4+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment
- Experience working with healthcare claims and enrollment data in large data warehouse environments
- Experience in preparing data and information and contributing to reports and presentations
- Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
- Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines
Nice-to-haves
- Academic coursework in statistics, econometric modeling, or other comparable coursework
- SAS certification
- Experience conducting statistical analysis to inform health policy
- Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
- Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques
- Experience with other software such as Excel (e.g., pivot tables, VBA)
- Understanding of Medicare and Medicaid payment methodologies
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
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