Senior Revenue Cycle Business Analyst
New
United StatesFull-TimeSenior
Salary78,000 - 113,000 USD per year
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Job Details
- Experience
- Minimum of 3 years
- Required Skills
- SQLTableauData modeling
Requirements
- Active Epic Revenue Data Model (Clarity) Certification required.
- Minimum of 3 years of experience within healthcare revenue cycle operations, including exposure to clinical and financial workflows.
- Strong understanding of both hospital billing and professional billing data, processes, and reporting structures.
- Advanced proficiency with SQL, Tableau, Crystal Reports, and healthcare reporting tools.
- Solid knowledge of relational databases, data modeling principles, and OLAP technologies.
- Experience analyzing complex healthcare datasets and translating findings into operational and strategic recommendations.
- Strong analytical thinking, problem-solving abilities, and attention to detail within high-volume data environments.
- Excellent communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
Responsibilities
- Design, develop, and maintain certified datasets that serve as centralized sources for revenue cycle KPIs, operational reporting, and executive dashboards.
- Analyze hospital and professional billing workflows to identify inefficiencies, operational gaps, and opportunities for revenue cycle optimization.
- Create and maintain advanced reports, dashboards, and visualizations using SQL, Tableau, Crystal Reports, and related analytics tools.
- Collaborate with cross-functional stakeholders including billing, coding, finance, and clinical teams to validate data integrity and support process improvement efforts.
- Apply relational database concepts, OLAP technologies, and data modeling techniques to support large-scale healthcare analytics initiatives.
- Serve as a subject matter expert on Epic Revenue Data Model (Clarity), providing technical guidance and analytical support across departments.
- Monitor key performance indicators, identify trends or anomalies, and present actionable recommendations to leadership teams.
- Support governance initiatives related to standardized reporting structures, certified datasets, and enterprise data quality practices.
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