Health Data Analytics Consultant

UnitedHealth Group•Reston, VA

1d•Remote

About The Position

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. 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. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Schedule: Monday - Friday, daylight

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, strong interpersonal skills, and a focus on meeting deadlines

Nice To Haves

Academic coursework in statistics, econometric modeling, or other comparable coursework
SAS certification
Experience conducing 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
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

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