Revenue Cycle Reporting Analyst

Role Description

The Revenue Cycle Reporting Analyst (Senior Analyst) will support the Defense Health Agency (DHA) Uniform Business Office (UBO) Support Contract, designing and maintaining enterprise key performance indicator (KPI) dashboards, consolidating reporting, and automating reporting workflows for enterprise-wide revenue cycle improvement initiatives across the back-end revenue cycle, spanning billing and follow-up, at more than 130 Military Treatment Facilities (MTFs). This role combines revenue cycle knowledge with advanced analytics to surface performance trends, risks, and bottlenecks, and to deliver data-driven insight that supports cost recovery, compliance, and audit readiness.

This role is contingent upon the successful award of the contract. Any offer of employment is subject to contract award and funding availability.

Core Responsibilities

• Demonstrate mission fluency in DHA UBO goals, governance, and policies; translate enterprise priorities into analytic projects and measurable KPIs.
• Conduct exploratory data analysis on large, multi-source revenue-cycle datasets to surface revenue cycle management patterns, risks, and process bottlenecks.
• Design interactive dashboards in Power BI/Tableau/Qlik Sense that visualize trends in revenue cycle audit, congressionals, collections, denials, and cost-recovery metrics; automate refresh schedules and validate data quality.
• Build predictive and machine learning models using Python, R, SQL, or SAS to inform operational decision-making.
• Identify and quantify process-improvement opportunities across audit, congressionals, collections, denials, and cost-recovery; develop business cases that forecast financial lift, effort, and timeline.
• Facilitate cross-functional working groups with stakeholders to vet analytic findings, prioritize solutions, and track benefits-realization.
• Author clear, concise deliverables—assessment reports, executive briefings, SOPs, and training materials—tailored to senior DHA military and civilian audiences.
• Adhere to project-management best practices and maintain impeccable documentation in accordance with quality standards.
• Mentor junior analysts/consultants, promoting analytic rigor, repeatable workflows, and a culture of continuous learning.
• Safeguard PHI/PII and sensitive government data, ensuring all analyses comply with HIPAA, DHA cybersecurity directives, and RMF controls.

Qualifications

• Knowledge and a working understanding of revenue-cycle concepts, business processes, and/or operations within the healthcare industry (commercial or federal).
• Ability to apply principles and practices in revenue-cycle management and revenue integrity, including charge capture, coding, billing, reimbursement, denial management, and compliance.
• Proficiency with electronic health record and revenue-cycle software and systems.
• Ability to analyze and interpret complex data, processes, and reports related to revenue cycle.
• Ability to identify and resolve issues impacting revenue-cycle performance.
• Strong collaboration and communication skills for engaging team members, clients, business partners, and other stakeholders.
• Proven success in dynamic, deadline-driven environments—able to deliver high-quality work products under tight timeframes.
• Excellent oral, written, and interpersonal skills.
• Microsoft Office proficiency (Excel, Word, PowerPoint).
• Eligibility for a DoD public-trust; U.S. citizenship required.

Technical Skills

• Cerner Millennium (Charge Services, Patient Accounting)
• Discern Visual Developer & Discern Analytics dashboard/report creation
• CCL (Cerner Command Language), SCP (Server Control Panel / Server Class Process), and MSGVIEW scripting and reporting
• Health Data Intelligence/HealtheAnalytics
• RevenueCycle Query Author SQL experience or report/dashboard creation and data extraction
• Dashboard Development in Tableau and Power BI—interactive visualizations, automated refresh schedules, KPI drill-downs
• Excel (Advanced)—Power Query/Pivot, complex formulas, data-validation models
• SQL—advanced querying, data-wrangling, stored procedures, and performance tuning for large RCM datasets
• Data Configuration & Analysis (variance logic, GL mapping, RC groups)
• Machine Learning & Predictive Analytics—Python, R, SAS; models

Preferred Qualifications

• 5+ years total RCM analytics experience; 3+ years in a DoD or large integrated-delivery-network setting
• Experience in Agile or hybrid-waterfall consulting environments.
• Bachelor’s degree in Data Science, Health Information Management, Statistics, Finance, or related field (Master’s preferred).
• Certifications: HFMA CRCR, AHIMA RHIA/RHIT, CPC, CBIP, or comparable RCM/data credentials.

Benefits

• Top-tier benefits package to invest in your physical, mental, and financial health and wellness.
• Opportunities to learn new skills, seize new challenges, and advance your career as we grow.