• Makes the business insights derived from data analytics accessible to those without technical skills • Communicates and presents project information to team and provides presentations/updates to management • Compiles, cleans, organizes and analyzes moderately complex data to understand business results, using tools such as Excel, Power BI, and SQL to support data extraction, modeling, and visualization • Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management • Provides technical expertise • Establishes, modifies, documents and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics, including best practices for SQL querying, Excel data structuring, and Power BI reporting

• Analyze complex business problems and issues using internal and external data to provide insights • Identify and interpret trends and patterns in relevant datasets • Create documented specifications for reports and analysis based on business needs • Define, develop, enhance, and track metrics and dashboard requirements • Responsible for data validation using advanced data analysis and tools • Provide technical advice, consultation, and knowledge to others within the relevant teams • Create relevant reports and present on trends to convey actionable insights

• 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

• Own and maintain data relationships across finance, operations, commercial and exec teams to ensure data integrity and consistency • Develop and document data dictionaries, mapping business logic to underlying data sources • Review and work with Data Engineering to establish and enforce data quality standards, identifying and resolving discrepancies proactively • Help to manage integrations between core business systems (ERP, CRM, billing platforms) and reporting infrastructure • Maintain and enhance the business intelligence/visualisation platform (Gooddata), ensuring dashboards remain timely, accurate, and user-friendly • Build and refine automated reporting pipelines to reduce manual effort and improve timeliness • Troubleshoot data issues and respond to ad-hoc reporting requests from stakeholders • Prepare and populate monthly and quarterly finance reports including internal reporting tracker data and summaries • Compile board reporting packs with accurate KPIs, variance analysis, and trend commentary • Support the finance team during month-end and year-end close processes with data extraction and reconciliation