Senior Revenue Cycle Analytics & Reporting Analyst

Fayette Chamber of Commerce; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Piedmont Healthcare seeks a Sr Rev Cycle Business Analyst to collect, analyze, and interpret data to support data-driven decisions within Revenue Cycle. You will generate regular and ad hoc reports and collaborate with Revenue Cycle leadership to gather requirements and ensure reporting solutions meet needs.

This role focuses on improving reporting processes, data accuracy, and operational efficiency across departments, with EPIC data tools and related models supporting your analyses.

Qualifications

• Bachelor's degree in listed fields or 6 years of related experience required.
• Minimum 3 years in healthcare Revenue Cycle or Revenue Cycle Information Systems; 9 years in lieu of degree.
• EPIC certification and related data model knowledge required.

Responsibilities

• Collect, analyze, and interpret data to provide actionable insights.
• Generate regular and ad hoc reports to support data-driven decisions.
• Collaborate with Revenue Cycle leadership to gather requirements and ensure reporting solutions meet needs.
• Improve reporting processes and data accuracy across operations.

Skills

Data analysis

Reporting KPIs

AR analysis

Process improvement

Data-driven decision making

Education

Bachelor's degree in Business Analytics, Finance, Economics, Data Science, Mathematics, Statistics or closely-related field

Six years of relevant work experience in lieu of degree

Tools

EPIC

Caboodle Data Model

Clarity Data Model

Cogito

Revenue Data Model

Resolute Hospital/Professional Billing Administration

Job description

Piedmont Healthcare seeks a Sr Rev Cycle Business Analyst to collect, analyze, and interpret data to support data-driven decisions within Revenue Cycle. You will generate regular and ad hoc reports and collaborate with Revenue Cycle leadership to gather requirements and ensure reporting solutions meet needs.

This role focuses on improving reporting processes, data accuracy, and operational efficiency across departments, with EPIC data tools and related models supporting your analyses.