Revenue Cycle Reporting Analyst (Senior Analyst)
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AI Summary
Who we are:
Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow.
We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply.
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. The Senior Revenue Cycle Reporting Analyst works with DHA UBO leadership, MTF stakeholders, the UBO Process Action Team (PAT), and the program team to translate enterprise priorities into measurable KPIs, dashboards, and reporting that inform decision-making.
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 (e.g., Oracle Cener EHR MHS GENESIS, SSI clearinghouse, 3M 360, Health Data Intelligence/HealtheAnalytics, M2, MDR, EAS IV, ABACUS) to surface revenue cycle management patterns, risks, and process bottlenecks.
- Design interactive dashboards in Power BI/Tableau/Qlik Sense 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, 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 (scope, schedule, risk, resource plans) 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.
Required Skills & Experience
- 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, Qlik Sense) / repositories (Excel, MHS GENESIS, ABACUS, M2, MDR, EAS IV, Health Data Intelligence/HealtheAnalytics)
- 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.
Why Tria?
What defines the Tria brand is more than just our dedication to excellence in our craft; it’s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team’s shared success.
As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow.
California Consumer Privacy Act (CCPA)
We are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. For more details, please review https://www.oag.ca.gov/privacy/ccpa.
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