FAIR Health, Inc., a national, independent nonprofit organization, was established in October 2009 with the mission to help assure fairness and transparency in health insurance information. FAIR Health has created a database of over 38 billion de-identified private healthcare claim records—the largest in the country—which receives claims monthly and which serves as the foundation for a variety of data products, custom analytics and consumer tools. FAIR Health has also been certified by the Centers for Medicare & Medicaid Services as a “Qualified Entity” and thus holds the entire collection of Medicare Parts A, B and D claims from 2013 to the present, which get routinely refreshed.

Our standard data modules, custom analytics and technological tools serve all participants in the healthcare sector nationwide; they are licensed to payors, third-party administrators, bill review companies, self-insured employers, government agencies, academic researchers and consultants. Our medical and dental data are used to inform statutes and regulations, healthcare cost indices, fee schedules, benefit and provider network design, practice/facility expansion, health systems research and dispute resolution, among other uses. We also offer a suite of consumer-oriented tools and resources available on our consumer website (fairhealthconsumer.org), as well as a mobile application, which can be licensed by other organizations.

Summary of Position

The Data Processing Specialist will work on multiple aspects of the data processing workflows used to create FAIR Health data products and will have responsibilities throughout the development life cycle of application changes related to those processes. This person will have a strong analytic background and the ability to gather requirements, translate business needs into technical requirements, and create and execute test plans.

Primary Responsibilities

Configure and execute data processing workflows and batch jobs
Debug and find root causes of errors that occur in batch jobs
Identify areas for further automation and work with development teams to implement process improvements
Translate business needs into development requirements and data-driven deliverables
Design and execute test plans of functional and nonfunctional test cases that verify requirements and validate functionality
Define and execute regression testing of application changes
Maintain documentation of workflows and other data processes