Job Details

JobDescription:

Role Overview

• Seeking a highly motivated Revenue Cycle Management (RCM) Data and Business Intelligence Analyst to support the Defense Health Agency's Uniform Business Office (UBO) and Data Quality Management Council (DQMC) Support Contract. In this role, you will combine deep revenue-cycle expertise with advanced analytics to help our Department of Defense client optimize cost-recovery, strengthen compliance, and unlock data-driven insights that improve performance.
• You will lead RCM business intelligence initiatives, performing data extractions and analyses across all applicable Military Health System (MHS) sources while shaping future predictive-analytics capabilities. In addition, you will provide analytic leadership for UBO, DQMC, and RCM deliverables and working groups.

• Demonstrate mission fluency in DHA UBO/DQMC goals, governance, and policies; translate enterprise priorities into analytic projects and measurable KPIs.
• Conduct exploratory data analysis on large, multi-source revenue-cycle datasets (e.g., MHS GENESIS, SSI clearinghouse, 3M 360, Health Data Intelligence, M2, MDR, EAS IV, ABACUS) to surface revenue cycle management patterns, risks, and process bottlenecks.
• Design interactive dashboards in Power BI/Tableau that visualize trends 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, 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 (scope, schedule, risk, resource plans) and maintain impeccable documentation in accordance with quality standards.
• DQMC Deliverables & Working Groups — Lead the preparation, validation, and on-time submission of all DQMC data-quality deliverables (e.g., quarterly metric packages, Data Quality Assessment reports, executive summaries), while convening and facilitating DQMC working groups to set agendas, coordinate deliverables, capture minutes/action items, and drive remediation through completion.
• 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.

• 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, such as:
• Electronic Health Record systems (Oracle/Cerner MHS GENESIS Patient Accounting Module—CPAM)
• Billing/claim solutions (Electronic Claims Clearinghouse—SSI; 3M 360 Encompass Institutional & Professional Coding; Claim-Scrubber Edits—Alpha II; Dentrix Billing; Patient Statements/Letters—RevSpring)
• Data-analytics tools (Excel, Power BI, SAS, Tableau) / repositories (Excel, MHS GENESIS, ABACUS, M2, MDR, EAS IV, Health Data Intelligence)
• 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.

• 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
• 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

• 8 + 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.