
Results-driven Business Data Analyst with 3+ years of experience delivering actionable insights through data analysis, reporting, and visualization. Proven track record of collaborating with cross-functional stakeholders to define KPIs, optimize workflows, and support strategic business decisions. Skilled in analyzing large datasets, automating reporting pipelines, and building interactive dashboards that drive performance improvements and operational efficiency. Adept at working in Agile environments to translate business needs into data solutions.
• Collaborated with key stakeholders to gather business requirements and define KPIs for revenue reconciliation projects, ensuring alignment with organizational goals and improving audit compliance.
• Utilized SQL and Azure Data Factory to extract, transform, and load (ETL) large volumes of healthcare claims and patient records, automating data pipelines and significantly reducing manual processing.
• Developed and maintained Power BI dashboards and KPI reports to provide real-time insights into claim denial reasons, patient follow-up rates, and chronic disease trends, enabling data-driven executive decision-making.
• Conducted statistical analysis using R (regression, classification, risk scoring) to identify billing error sources and regional disease hotspots, contributing to a reduction in revenue leakage.
• Led Agile sprint planning and backlog grooming sessions using Jira and Confluence, managing documentation including BRD, FRD, and process flow diagrams to facilitate clear communication between IT and business teams.
• Partnered with clinical and finance teams to monitor and improve key business metrics such as claim turnaround times, denial rates, and patient engagement, driving an reduction in claim denials
• Engaged with stakeholders across compliance and operations to gather and document business requirements (BRD, SRS) for loan approval optimization initiatives using the Waterfall methodology.
•Extracted, cleaned, and analyzed loan application and repayment records using MySQL and Excel (Power Query, advanced formulas) to uncover process inefficiencies and enhance SLA adherence.
• Designed and delivered Tableau dashboards and interactive KPI reports tracking loan lifecycle metrics, approval ratios, and credit score distributions to enhance visibility for business users.
• Conducted A/B testing and ROI analysis on credit policy changes, using Python (Pandas, Scikit-learn) predictive models to assess applicant risk and optimize personalized loan offerings.
• Automated exception reporting workflows with Excel and Power Query, decreasing manual verification workload and accelerating underwriting processes.
• Collaborated with cross-functional teams in Agile sprints to prioritize requirements, monitor progress via Jira, and maintain updated documentation including functional specs and process flow diagrams.
Process flow diagrams
ROI analysis
Requirements gathering