RCM Performance Analyst

Epic RCM Performance Analyst

Position Summary

Join Deloitte's AI & Engineering practice to deliver back-end Revenue Cycle Management (RCM) services, including Billing and Claims Submission, A/R Follow-up, Denials Management, Payment Posting, and Credits and Refunds, for health care provider client

Recruiting for this role ends on 11/01/2026.

Work you'll do

As an Epic RCM Performance Analyst on the AI & Engineering team, you will develop and maintain KPI reporting and dashboards tracking denial rates, AR aging, remittance trends, and productivity and quality performance across the operations team.

Analyze 835/277 remittance and claims data using Epic Resolute and BI reporting tools to identify high-impact denial categories, payer-specific patterns, and systemic billing variances.

Build and maintain Excel-based models and BI reports / dashboards to convert raw claims and remittance data into audit-ready, decision-useful insights.

Conduct ongoing trend analysis and root-cause sampling of denial, variance, and productivity data to isolate systemic, payer, or process-driven issues.

Partner with quality assurance, training, and operations leadership to validate findings and confirm root causes prior to remediation.

Monitor payer guideline and requirement changes and assess their downstream impact on denial trends and account processing performance.

Collaborate with operational teams to translate analytic findings into targeted process improvement recommendations and remediation plans.

Supporting implementation of remediation plans by working with staff and team leads to confirming corrective actions are applied and sustained.

Track the effectiveness of interventions over time and refine analytic and reporting approach based on outcomes.

Develop clear, data-driven materials and presentations for internal leadership and client stakeholders summarizing KPI performance, trends, and recommended actions.

Support monthly and quarterly business reviews with root-cause narratives, performance summaries, and improvement recommendations.

Present analytic findings to varied audiences, from operational staff to client and engagement leadership.

A successful candidate would possess these skills:


* Ability to work independently and collaborate as part of a team


* Effective written and verbal communication skills


* Meticulous attention to detail and quality of work product


* Ability to build and sustain professional relationships


* Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment


* Strong interpersonal skills and professional demeanor


* Ability to meet deadlines

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

These solutions are powered by engineering for business advantage, transforming mission-critical operations.

We enable ...