Lead Data Analyst (Remote)
Resp & Qualifications PURPOSE: The Quality, Stars, and Risk Adjustment Analytics team is hiring a lead data analyst with deep experience in risk adjustment. This person will support the Director of Risk Adjustment by monitoring and reporting on risk adjustment KPIs, delivering insights for prospective and retrospective risk adjustment operational decisions, and working independently to improve process and data integrity. In addition, this person will work directly with vendors that supply additional data and reporting.ESSENTIAL FUNCTIONS:
- Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.
- Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
- Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
- Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
- Manage the collection of business and technical requirements from stakeholders to deliver data driven solution. Produces and reviews technical documentation that is consistent with professional standards.
- Lead in the design, development, validation and delivery of data to provide insight into business decisions.
- Act as a mentor to all team members.
- Experience in healthcare industry and deep understanding of Medicare risk adjustment (clinical, submission cycle, and financial experience).
- Strong experience with SQL, Power BI, and Excel.
- Skill with PowerPoint and experience presenting to a diverse set of stakeholders.
- Strong project management skills and ability to manage multiple and diverse stakeholders and leadership roles.
- Knowledge of claims data as found in back-end data warehouses.
- Experience with Fabric or Alteryx is a plus but not required.
- Quantitative, analytical and problem-solving skills.
- Knowledge and understanding of analytical tools, languages, applications, platforms.
- Excellent communication skills both written and verbal.
- Ability to learn quickly and take direction.
- Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.