Sheba Jocelyn

About Sheba Jocelyn

I am a Data Analyst with 4+ years of experience using data as a strategic asset to drive smarter decisions across healthcare and financial domains.I bring a strong blend of analytical depth and business understanding, enabling me to move beyond surface-level reporting and focus on why outcomes occur and how they can be improved. I have extensive experience working with large, structured datasets, applying advanced SQL, Python, and data modeling techniques to uncover patterns, validate assumptions, and ensure data integrity across analytics workflows.With a strong foundation in healthcare analytics, I have worked extensively with claims, eligibility, reimbursement, and regulatory-driven datasets, ensuring alignment with HIPAA, Medicare, and Medicaid requirements. I also have a solid background in financial and FP & A analytics, including revenue analysis, cost optimization, variance analysis, forecasting, and performance measurement—allowing me to operate confidently at the intersection of healthcare operations and financial decision-making.Beyond technical skills, I bring a Business Analyst mindset—with experience in requirements gathering, process mapping, stakeholder collaboration, and translating ambiguous business questions into clear analytical frameworks. I enjoy working in environments where data, process, and people intersect, and where analytics can create measurable, real-world impact.I am motivated by roles where analytics is used not just to report the past, but to shape better decisions, stronger processes, and meaningful outcomes.Skill Slack:Analytics & Reporting:Medicaid Analytics, Population Health Metrics, Utilization Analysis, PMPM Analysis, Cost & Trend Analysis, Quality Measure ReportingTools & Technologies:SQL (complex joins, CTEs, window functions), Power BI (Healthcare KPI Dashboards), Tableau, Excel (Power Query, Pivot Tables), Python (Pandas, NumPy)Financial & FP & A Analytics:Revenue Analysis, Profitability & Margin Analysis, Cost Optimization, Budget vs Actuals, Variance Analysis, Forecasting, Trend AnalysisData Modeling & Automation:Financial Data Modeling, Aggregations & Allocations, Automated Monthly Reporting, Reconciliation & Validation

Experience

1. Business Data Analyst

   McKesson

   Sep 2024 — Present

   Gathered and refined requirements from Billing, RCM, Compliance, and Finance teams and translated them into business rules, workflow updates, and reporting specifications for denial reduction and reimbursement improvement- Automated recurring billing and reimbursement reports using SQL queries, cloud-based datasets, Excel macros, and Power BI data models, which reduced manual reporting workload and improved accuracy.

Education

• Lords Institute of Engineering & Technology

  Bachelor of Technology - BTech, Computer Science

• Lewis University

  Master's degree, Business Analytics