Health Data Analytics Consultant - Remote

UnitedHealth Group•Reston, VA

3d•Remote

About The Position

Optum Serve Consulting/The Lewin Group (OSC/Lewin) is a premier national health care and human services consulting and policy analysis firm with 50 years of experience. They 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 payment model implementation contracts, requiring intermediate SQL or Python experience, and knowledge of statistics and research methodology. This role offers the flexibility to work remotely from anywhere within the U.S. For hires in the Minneapolis or Washington, D.C. area, working in the office a minimum of four days per week is required.

Requirements

4+ years of experience in health/analytics related field
4+ years of experience using Python, SQL or R in a research, consulting, or business environment
Experience working with medical claims and enrollment data in large data warehouse environments
Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
Experience in preparing data and information and contributing to reports and presentations
Proven excellent oral and written communication skills, strong interpersonal skills, and a focus on meeting deadlines
Experience working on implementing or evaluating value-based payment programs
Experience working in Snowflake or Databricks environments

Nice To Haves

Academic coursework in statistics, econometric modeling, or other comparable coursework
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

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
Apply 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 a project teams
Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks