Remote Revenue Cycle Process Improvement Analyst

UChicago Medicine; Illinois; Hybrid; USD 85,000 - 140,000; Full time

Benefits offered by this job

Flexible remote

Onsite when needed

Job summary

UChicago Medicine is seeking a Revenue Cycle Process Improvement Analyst to lead cross-functional initiatives across IT, clinical, and administrative units. The role focuses on leveraging analytics and process improvements to accelerate cash flow and reduce errors throughout the revenue cycle.

You will work with stakeholders to map processes, measure outcomes with KPIs, and implement sustainable solutions while maintaining high standards of data integrity and collaboration.

Qualifications

• 3+ years of progressive experience in healthcare revenue cycle.
• 2+ years of experience in process improvement, quality assurance, analytics, or a similar role.
• 2+ years of Epic experience required in a leadership or analyst role.

Responsibilities

• Lead and support continuous improvement projects. Identify process breakdowns and root cause using shadowing/Gemba walks, workflow analysis and data review.
• Monitor performance metrics and KPIs to measure the effectiveness of process changes; course-correct if benefits are not realized.
• Analyze current business processes to identify inefficiencies, bottlenecks and areas for improvement; develop SOPs and process maps.
• Partner with cross-functional teams to gather requirements and implement data-driven solutions; champion change with training and communications.

Skills

Revenue cycle

Process improvement

Data analysis

Epic

Excel

PowerPoint

Education

Bachelor’s degree

Tools

Epic

Excel

PowerPoint

Word

Job description

UChicago Medicine is seeking a Revenue Cycle Process Improvement Analyst to lead cross-functional initiatives across IT, clinical, and administrative units. The role focuses on leveraging analytics and process improvements to accelerate cash flow and reduce errors throughout the revenue cycle.

You will work with stakeholders to map processes, measure outcomes with KPIs, and implement sustainable solutions while maintaining high standards of data integrity and collaboration.