• support the Military Health System client by delivering advanced analytics, statistical modeling, backend application support, and enterprise reporting across MHS GENESIS and DHA data platforms • transform revenue cycle data into decision support intelligence that strengthens revenue surveillance, risk based monitoring, audit readiness, and Revenue Cycle Modernization and Innovation initiatives • Design and execute statistical and analytic methodologies to support revenue cycle surveillance, risk identification, remediation prioritization, and performance monitoring • Develop, optimize, and maintain advanced SQL and Vertica SQL queries, views, and reusable datasets supporting revenue cycle analytics including billing, collections, DNFB, denials, accounts receivable, write offs, and cash collections • Develop and maintain CCL and Discern queries and reusable extracts to support analytics, operational reporting, and backend diagnostics within MHS GENESIS • Access, extract, validate, reconcile, and integrate data from Cerner MHS GENESIS and DHA authorized enterprise repositories • Identify trends, anomalies, outliers, and revenue risk related to charge capture, registration, documentation, claim edits, denials, underpayments, and reimbursement performance • Perform data validation, lineage analysis, reconciliation, and quality assurance across multiple systems of record to ensure analytical accuracy and audit traceability • Conduct system impact assessments related to backend configuration, data flow, billing logic, and revenue cycle workflows in coordination with Oracle Health Cerner, DHA, CDAO, and RCMI technical teams • Investigate, triage, and support resolution of user reported issues impacting revenue cycle, scheduling, patient access, billing, and encounter workflows • Develop dashboards and analytic products using Power BI, Tableau, SAP Business Objects, and advanced Excel to support revenue cycle monitoring and executive reporting • Produce recurring and ad hoc analytic deliverables including executive summaries, methodology documentation, data dictionaries, and leadership briefings • Quantify financial impact of identified issues and support tracking of corrective actions through pre and post remediation analysis • Support testing, validation, release management, and interface changes to ensure analytic outputs align with system updates and configuration changes • Participate in incident, problem, and change management processes within IT service management frameworks • Collaborate with clinical, coding, billing, finance, IT, and operational stakeholders to translate analytic findings into actionable improvement strategies • Safeguard protected health information and comply with HIPAA, DHA cybersecurity directives, and federal data governance policies