Query and analyze large-scale KPI datasets from AWS and Oracle using advanced SQL with multiple CTEs, then design star schema dimension tables to prep and transform data for dashboarding; version control in Git. Build executive KPI dashboards and reporting for Technology Governance in Power BI and Qlik Sense, translating stakeholder requirements into standardized metrics. Partner with business stakeholders to define, standardize, and monitor KPIs, presenting analytical findings to cross-functional teams across the BI function. Automate data validation processes in Python and N8N, plus validation dashboards, to monitor data load and quality. Track agile delivery metrics for Scrum teams across Technology Governance in dedicated dashboards, supporting KPI standardization. Reduce manual effort in recurring reporting workflows by building and maintaining RPA automation in Python.

Queried large-scale revenue and pricing datasets in Databricks to support statistical analysis and dashboard reporting. Applied statistical analysis and predictive methods to support delivery fee pricing decisions. Built Tableau dashboards and reports to track delivery fee revenue performance for business stakeholders.

Analyzed competitor marketing datasets for competitive-intelligence studies that fed campaign strategy. Built and maintained marketing KPI dashboards in Power BI, tracking lead conversion performance by store and region.

Built and maintained Tableau dashboards for business monitoring, and developed ML models and automated data workflows for fraud detection using R, KNIME, and SAS.