Health Data Analytics Consultant - Remote
About The Position
Optum Serve Consulting/The Lewin Group (OSC/Lewin), a national health care and human services consulting and policy analysis firm, supports public, nonprofit, and private organizations. The Health Data Analytics Consultant supports payment model implementation contracts by applying quantitative analysis, programming, and research methods to Medicare and Medicaid policy and programs. The role includes developing and evaluating payment models, analyzing healthcare claims and eligibility data, preparing documentation and reports, and coordinating with clients and project teams. The position is remote within the United States, except hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must comply with UnitedHealth Group’s Telecommuter Policy.
Requirements
- At least 4 years of experience in a health- or analytics-related field.
- At least 4 years of experience using Python, SQL, or R and working with Snowflake or Databricks in a research, consulting, or business environment.
- At least 2 years of experience with CMS payment model implementations.
- At least 2 years of experience working with medical claims and enrollment data in large data warehouse environments with complex structures and relationships, such as an Integrated Data Repository.
- Advanced Excel experience, such as pivot tables and VBA.
- Experience with databases having complex structures and relationships, including the Integrated Data Repository or Chronic Conditions Warehouse.
- Experience preparing data and information and contributing to reports and presentations.
- Familiarity with healthcare data and payment concepts, including claims data structure and contents, claim types, and payment concepts.
- Excellent oral and written communication skills, strong interpersonal skills, and a focus on meeting deadlines.
Nice To Haves
- Experience conducting statistical analysis to inform health policy.
- Understanding of Medicare and Medicaid payment methodologies.
- Academic coursework in statistics, econometric modeling, or comparable coursework.
Responsibilities
- Perform quantitative analyses to inform the design, implementation, and evaluation of Medicare and Medicaid payment models.
- Support payment calculations; conduct financial and trend analyses; calculate quality metrics; and perform ad hoc analysis for client needs.
- Work with clients to verify analysis parameters and specifications.
- Apply machine learning, econometrics and statistical methods, predictive modeling, return-on-investment analysis, simulation, and data visualization to support health policy development.
- Query large healthcare claims and eligibility databases efficiently.
- Prepare detailed specifications and documentation of data-processing and analytical steps.
- Write effective and efficient code independently and under project manager guidance, following quality-control procedures.
- Maintain accuracy and attention to detail.
- Work cooperatively as a member of project teams.
- Prepare data and information for internal and external use, contribute to reports, and assist with project coordination.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
