AI-Driven Revenue Cycle Analyst: Denials Prevention

Jobtailor; Kentucky; On-site; USD 60,000 - 90,000; Full time

Job summary

Jobtailor is seeking a Revenue Cycle Analyst to drive in-depth analysis of claims, payments, and account reconciliations across the revenue cycle. You will identify trends in underpayments and denials, evaluate root causes, and collaborate with cross-functional teams to implement corrective actions and process improvements.

The ideal candidate has 1–3 years of experience, strong analytical skills, attention to detail, and proven ability to communicate findings to stakeholders.

Qualifications

• 1 to 3 years of experience in revenue cycle or related field.
• Demonstrated advanced usage of AI.
• Experience managing teams using AI.
• Strong analytical capabilities and attention to detail.
• Ability to communicate findings effectively to stakeholders.
• Willingness to travel and work onsite as needed.

Responsibilities

• Perform in-depth analysis of claims, payments, and account reconciliations.
• Ensure accuracy and compliance across the revenue cycle.
• Identify trends in underpayments, denials, and revenue leakage.
• Evaluate root causes and recommend corrective actions.
• Review and validate claim and payment data.
• Prepare detailed reports for leadership.
• Collaborate with cross-functional teams and escalate complex issues.
• Support continuous improvement initiatives to optimize processes and reduce cycle times.
• Provide revenue cycle operations reporting and analysis.

Skills

Advanced AI Usage

Revenue Cycle Analysis

Team Management Using AI

Process Improvement

Stakeholder Communication

Attention to Detail

Education

Bachelor's Degree or Equivalent Experience

Job description

Jobtailor is seeking a Revenue Cycle Analyst to drive in-depth analysis of claims, payments, and account reconciliations across the revenue cycle. You will identify trends in underpayments and denials, evaluate root causes, and collaborate with cross-functional teams to implement corrective actions and process improvements.

The ideal candidate has 1–3 years of experience, strong analytical skills, attention to detail, and proven ability to communicate findings to stakeholders.