We’re evolving health care so everyone can have the opportunity to live their healthiest life. It’s why we put your unique needs at the heart of everything we do, making it easy and affordable to manage health and well-being. We are delivering the right care how and when it’s needed; providing support to make smarter and healthier choices; and making prescription services easier, while helping you save money along the way. It’s everything health care should be. Together, for better health.

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

Required Qualifications:

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

Preferred Qualifications:

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

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

Experience with other software such as Excel (e.g., pivot tables, VBA)