Oversees the Analytics team in transforming data into actionable insights that inform the organization's strategic decisions and drive business value.
Collaborates with functional area staff across the Revenue Cycle to understand business workflows and build actionable metrics and dashboards to support Revenue Cycle operations.
Leads analytics projects, liaising with operational, financial, and IT teams to query and acquire data, organize and analyze it, model the data, identify trends and patterns, draw conclusions and propose insights.
Presents findings in reports and dashboards to leadership helping them make decisions that improve processes.
Develops and leads the communication, execution, and adherence of standard operating procedures (SOPs) for the analytics department to ensure consistency, quality, and operational alignment across all data initiatives.
Requirements
Bachelor's Degree
3+ Work Experience
Fundamental awareness of data querying techniques (i.e., Structured Query Language, Power Query, Power Pivot)
Working knowledge of DAX for Power BI
Proficiency in Microsoft Office products Word, Outlook, PowerPoint
Ability to document findings and clearly communicate analytical outputs
Advanced knowledge of Excel to organize data, develop data models for analysis, and create visualizations
Basic knowledge of one or more business intelligence tools (e.g., Power BI, Tableau, Business Objects, QlikView, Oracle Business Intelligence, HPM, Minitab or similar.)
Proficiency in performance of basic mathematical and statistical concepts (e.g., regression analysis)
Upper-Intermediate knowledge of healthcare and Revenue Cycle operations
Understanding of how healthcare systems and processes work together in producing business information
Possesses deep knowledge and specialized skill set in understanding business operations and financial flow
Benefits
Benefits from Day One
Career Development
Whole Person Wellbeing Resources
Mental Health Resources and Support
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data querying techniquesStructured Query LanguagePower QueryPower PivotDAXExceldata modelsvisualizationsmathematical conceptsstatistical concepts