Job Description

Title: Health Data Analytics Consultant – Remote

Location: Falls Church VA US

Job Category: Consulting

Job Type: Full-time

Travel Percentage: -1

Job Description:

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

The Lewin Group/OptumServe Consulting, a premier national health care and human services consulting and policy analysis firm with 50 years of experience, finds answers and solves problems for leading organizations in the public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Health Analytics Consultant to work on health and human services projects 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.

Primary 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

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor’s degree or higher in Mathematics, Statistics, Economics, or related field
  • 2+ years of experience using SAS (including macro processing and Proc SQL), R, Python, or SQL in a research, consulting, or business environment
  • Experience working with healthcare 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

Preferred Qualifications:

  • Master’s degree or Ph.D. in Statistics, Economics, Public Health, Public Policy, or related field
  • SAS certification
  • Academic coursework in statistics, econometric modeling, or other comparable coursework
  • 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
  • Understanding of Medicare payment methodologies
  • 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)
  • Excellent oral and written communication skills, strong interpersonal skills, and a focus on meeting deadlines