Risk Adjustment Data Analyst

WHO WE ARE

NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.

NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. Through our value-driven, consumer-centric approach, we are committed to transforming healthcare and creating a better care experience for all.

SCOPE OF ROLE 

The Risk Adjustment and Analytics Team is working to push boundaries to redefine Risk Adjustment and Quality Analytics in a Value-Based Care Setting. The Risk Adjustment Analyst will be the lead in the design, implementation, and maintenance of all Risk Adjustment and Quality Data and Dashboards for our entire NeueHealth Portfolio: ACA, Medicare, ACO REACH, MSSP, and Medicaid. The Risk Adjustment and Quality Analyst will be responsible for working both independently and collaboratively between multiple departments such as Analytics, Risk Adjustment and Quality, Medical Economics, & Clinical Operations.

This is an onsite position in Doral, FL.

ROLE RESPONSIBILITIES

• Proactively collaborate and interact with business stakeholders across the organization to understand analytics needs, develop plans to address those needs, and deliver analytics to meet those needs.
• Using SQL code, mine data on medical spend, clinical data and population health data and derive meaningful insights to improve operations such as trends, correlations and patterns.
• Own the data. You are responsible for accurate presentation of your data elements, so ensuring data integrity is paramount.
• Thoroughly analyze data, quickly identify relevant information, and transform it into a meaningful output.  Conduct thoughtful presentations, online or in person, to stakeholders with actionable findings for improvement.
• Provide concise data reports and clear data visualizations for executive level reporting through Power BI, Excel and other tools used by the organization.
• Create data processes that are consistent, repeatable, and scalable.
• Conduct Quarterly Reconciliations to identify dropped HCCs and prepare supplemental data submission files according to payor partner specifications.