United States
Senior Business/Systems Analyst with 11+ years of experience leading business analysis, systems analysis, enterprise reporting, testing, and AI-enabled analytics solutions across healthcare, banking, government, and enterprise organizations. Expertise gathering business and technical requirements, defining business rules, acceptance criteria, Requirements Traceability Matrices (RTM), translating requirements into technical specifications, and leading enterprise test management activities including test plans, test scenarios, test cases, SIT, UAT, and regression testing. Experienced integrating complex enterprise data sources, developing AI prompt strategies, validating AI-generated outputs, mitigating hallucinations, creating reusable prompt libraries, and enabling business users through AI training, data literacy, and enterprise reporting solutions using SQL, Power BI, Tableau, Snowflake, Python, Microsoft Copilot, Agile, and Waterfall methodologies.
Led end-to-end business and systems analysis by eliciting business rules, functional requirements, non-functional requirements, acceptance criteria, and maintaining complete Requirements Traceability Matrix (RTM) across Agile and Waterfall initiatives. Served as Test Manager creating enterprise test strategies, test plans, test scenarios, test cases, defect management workflows, and coordinating SIT, UAT, regression, and production validation. Developed AI prompt templates and structured query patterns using Microsoft Copilot and enterprise Generative AI tools to simplify complex analytical requests and accelerate business reporting. Validated AI-generated analytical outputs by performing source-to-target reconciliation, business rule verification, hallucination detection, and enterprise data quality validation. Guided business stakeholders in writing effective AI prompts for retrieving accurate enterprise information while ensuring compliance with governance standards. Created reusable prompt libraries, reporting templates, and standardized query frameworks enabling consistent self-service analytics across business units. Collaborated with enterprise data engineering teams integrating multiple structured and unstructured data sources into centralized reporting environments. Produced detailed business process documentation, decision tables, data dictionaries, source-to-target mappings, and operational workflows supporting enterprise reporting. Worked independently as the primary analytics consultant supporting multiple internal business stakeholders while providing technical guidance to junior analysts. Presented analytical findings through business storytelling, translating complex data into actionable recommendations for senior leadership. Utilized Microsoft Copilot and generative AI tools to accelerate report generation, SQL development, documentation, and productivity initiatives.
Partnered with behavioral and healthcare program stakeholders to map complex "As-Is" and "To-Be" business processes, gathering functional requirements to operationalize initiatives within Salesforce CRM environments. Managed the CRM communication inbox, triaging user requests, prioritizing platform tickets by severity, and routing system upgrades and timeline modifications to relevant stakeholders. Translated healthcare operational requirements into detailed Functional and Technical Specifications, SQL logic, acceptance criteria, and comprehensive testing artifacts for data warehouse enhancements. Facilitated the enterprise integration of healthcare systems and cloud solutions while ensuring strict data governance and compliance with HIPAA and FedRAMP standards. Supported contact center capabilities by collaborating with IT teams to align Salesforce CRM workflows with contact center suite architectures (such as Nice CXone) to optimize user tracking and communication logs. Authored end-user reporting tools documentation, structured job aids, webinar scripts, and web-based training modules to facilitate knowledge transfer and technical learning sessions for cross-functional teams. Conducted system and data validation alongside QA teams, defining test scenarios, executing UAT cycles, identifying reporting inconsistencies, and tracking defect remediation prior to production releases. Assisted program leadership and business owners with project management duties, data management frameworks, and drafting detailed Requests for Proposals (RFPs) for vendor sourcing. Automated recurring reporting and metric tracking using SQL, Power BI, and Python, decreasing reporting turnaround times and optimizing data warehousing workflows.
Served as Business System Analyst supporting statewide executive reporting and enterprise analytics initiatives. Designed enterprise Power BI and Tableau dashboards tracking financial performance, operational efficiency, public program metrics, and agency KPIs. Developed advanced SQL reporting solutions utilizing SQL Server, Oracle, and enterprise data warehouse platforms. Built automated ETL validation and reporting processes improving enterprise reporting reliability. Performed data transformation, cleansing, profiling, and quality analysis on large enterprise datasets. Partnered directly with agency directors to understand reporting requirements and recommend analytical solutions supporting policy and operational decisions. Conducted trend analysis, forecasting, variance analysis, and executive reporting for statewide initiatives. Developed reusable reporting datasets enabling self-service business intelligence across departments. Communicated analytical findings using compelling data storytelling techniques and executive presentations. Mentored business users on Power BI dashboards, reporting interpretation, and analytics best practices. Collaborated with database teams optimizing reporting performance and enterprise BI architecture. Supported AI-enabled reporting initiatives utilizing Microsoft Copilot to improve reporting productivity and documentation.
Gathered, analyzed, and managed business requirements for global enterprise systems supporting asset reconciliation, corporate capital management, and operational financial reporting across business units. Authored comprehensive BRDs, Functional Requirement Specifications (FRS), user stories, and process flow diagrams to optimize high-volume Procure-to-Pay (P2P) and Order-to-Cash (O2C) financial cycles. Acted as the primary interface between corporate finance, procurement operations, global supply chain, and IT teams to deliver unified technical solutions aligned with corporate capital objectives. Designed functional data validation, asset reconciliation, and quality control frameworks using analytical SQL to ensure the complete accuracy of multi-million dollar inventory ledgers and procurement transactions. Performed deep-dive variance analysis on massive operational datasets—including purchase orders, supplier cost variations, and financial transactions—identifying trends to automate anomaly and exception handling. Supported strict internal audit and Sarbanes-Oxley (SOX) compliance procedures by maintaining end-to-end data lineage, system-to-system traceability, and strict reporting transparency across ERP platforms. Developed and deployed interactive executive dashboards in Tableau and Business Objects to monitor critical operational metrics, working capital efficiency, and procurement cost-variance trends. Partnered with database teams to guide the functional layout of centralized reporting repositories (hosted on Oracle and Teradata), ensuring table schemas effectively supported downstream financial and cost accounting. Spearheaded root cause analysis on ledger discrepancies, inventory valuation mismatches, and operational bottlenecks, delivering actionable recommendations to leadership to reduce overhead.
Collaborated closely with business stakeholders, departmental subject matter experts (SMEs), and technical units to elicit, analyze, and document functional business demands for enterprise reporting applications. Authored comprehensive Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), detailed system use cases, and As-Is/To-Be process flow diagrams to guide technical development teams. Served as the core translator and functional liaison between corporate business units and software engineering teams, ensuring requirements were clearly understood and solution deliverables remained on schedule. Coordinated System Integration Testing (SIT) and User Acceptance Testing (UAT) cycles, constructing test cases, executing end-to-end business scenarios, tracking defect resolution, and validating outputs against baseline requirements. Maintained strict version control over project documentation, change requests, compliance artifacts, and audit trails throughout the project lifecycle to ensure robust delivery governance. Conducted operational data analysis using analytical SQL to systematically identify system reporting gaps, operational data quality issues, and ledger inconsistencies across transactional platforms. Partnered with database and integration teams to review Source-to-Target Mappings (STTM), validate data transformation logic, and verify backend data movement across legacy systems. Supported corporate operations and management teams by gathering downstream reporting requirements and assisting in the functional design of centralized data marts and management dashboards. Assisted with internal data governance initiatives, performing data access reviews, validating system definitions, and ensuring strict adherence to corporate data security policies.