Business Intelligence / Data Analyst

Analyze large healthcare claims datasets using SQL and Snowflake to identify trends in approvals, denials, payment accuracy, and turnaround time. Perform denial root-cause analysis related to billing codes, provider submission patterns, policy rules, and documentation gaps.

Conduct exploratory analysis in Python and evaluate grievance and appeals outcomes to identify operational risks and compliance trends. Analyze member and provider call drivers to identify opportunities to reduce support volume.

Develop and maintain Power BI dashboards for claims performance, denial trends, appeals outcomes, and operational KPIs. Build complex extraction, transformation, and validation queries, automate recurring workflows, and partner with compliance, operations, and business leaders on process improvements.

Collaborated with cross-functional stakeholders to translate analytical requirements into scalable business intelligence and analytics solutions. Designed Power BI dashboards and KPI reporting tools for operational and executive decision-making.

Developed ETL processes to ensure data quality, reliability, and reporting consistency. Built enterprise reports using SQL Server, Excel, SAP, Azure SQL, Synapse, SharePoint, and CSV data sources.

Created advanced DAX measures and analytical models for performance and trend analysis. Configured SSRS and Power BI Service refresh schedules, subscriptions, and gateway management.

Analyzed large retail datasets to identify performance trends, operational insights, and business opportunities. Developed SQL queries and stored procedures supporting analytics and reporting requirements.

Designed SSRS reports, including parameterized and drill-down reports, for operational users. Built Power BI dashboards integrating Snowflake, SQL Server, Excel, Azure, and SharePoint data sources.

Developed and maintained SSIS ETL pipelines to automate data integration processes and support consistent reporting.

Bachelor of Science in Computer Science.