Providence, Rhode Island, United States
I’m a Data Analyst and BI Analyst with a strong background in logistics analytics, financial data operations, and enterprise reporting. Over the past several years, I’ve designed and built scalable Power BI reporting systems, created complex DAX measures, and integrated data from Salesforce, Oracle Fusion, Azure SQL, and other enterprise systems. My work focuses on transforming operational and financial datasets into actionable insights that improve profitability, increase process efficiency, and support executive decision-making. I am experienced in developing semantic models, building KPI frameworks, conducting margin/cost analysis, and optimizing data workflows across cross-functional teams. Before transitioning fully into analytics, I built my foundation in data-centric operational roles spanning revenue recovery, enrollment systems, and customer performance analytics—giving me a strong understanding of business processes, data structure, and stakeholder needs. Now based in North Providence, Rhode Island, I’m actively exploring Data Analyst and Business Intelligence Analyst opportunities across New England (Providence, Boston, Worcester, Hartford) and hybrid/remote roles nationwide. Core Strengths: • Power BI (DAX, Power Query, semantic modeling) • SQL (Azure SQL, operational reporting, data validation) • Data integration (Salesforce, Oracle Fusion, Azure) • KPI development & analytics storytelling • Operational & financial data modeling • Process optimization & workflow automation • Cross-functional communication If you’re looking for a data professional who understands both the business and technical side of analytics, I’d love to connect.
Support C3 Wellbeing’s data modernization initiatives through the development of centralized reporting and analytics solutions across multiple program areas. Design and maintain Power BI dashboards and semantic models used for operational reporting, compliance tracking, and executive decision-making. Develop standardized KPI reporting for Student Assistance Services (SAS), prevention education, project success, and demographic reporting initiatives. Utilize Power BI, DAX, Power Query, Excel, and flattened export datasets to improve reporting accuracy, consistency, and accessibility. Collaborate with leadership, program teams, and external technology partners to refine reporting requirements and improve organizational data visibility. Assist with transitioning legacy manual reporting processes into scalable, automated dashboard solutions for internal and external stakeholders. Support BHDDH-related reporting and grant compliance efforts through structured analytics and reporting workflows. Contribute to the organization’s broader data governance and reporting standardization efforts as part of an ongoing operational modernization strategy.
Designed and built enterprise Power BI dashboards and semantic models, including the OTR Semantic Model, Network KPI Dashboard, and customer scorecards. Developed advanced DAX measures (rolling averages, Z-scores, volatility models, holiday logic, accessorial KPIs). Integrated data across Salesforce (Revenova), Oracle Fusion, Accounting Seed, and Azure SQL to create unified reporting datasets. Created executive-ready narratives summarizing MoM/YoY margin, revenue, and cost performance. Improved accessorial billing accuracy and operational efficiency through data-driven process enhancements.
Officiate games at regional park districts for children grades K12, with consistent positive feedback from players, coaches, and parents. Expanded into officiating volleyball and floor hockey games for special needs adults, contributing to community engagement initiatives.
Spearheaded coaching efforts for FC Lake County's U10 and U11 soccer teams, focused on player development and improving player performance metrics. Cultivated a supportive and collaborative environment, resulting in decreased player absenteeism. Prioritized sportsmanship and teamwork, minimizing the need for disciplinary actions.
Conducted detailed analysis of unpaid balances, billing discrepancies, and revenue leakage trends. Built dashboards and reports tracking agency performance, aging categories, and delinquency behaviors. Managed third-party collection agencies by providing prioritized datasets and KPI reporting. Led data cleanup, validation, and audit efforts across revenue-related systems. Improved revenue recovery by identifying systemic issues through root-cause analysis.