Data Analyst at Circle K

Designed and deployed enterprise-scale Power BI reporting solutions supporting Facilities and Operations leadership, enabling real-time visibility into asset reliability, maintenance performance, and operational KPIs. • Developed a Reliability Analytics Suite supporting 6,800+ retail stores, consolidating asset uptime, maintenance performance, work order lifecycle, technician productivity, and spend management into a unified reporting ecosystem. • Architected scalable data pipelines in Databricks, improved robust Power BI data models, and optimized complex DAX calculations, improving dashboard performance by 50% and enabling enterprise-wide self-service analytics. • Leveraged Generative AI, Copilot, and Prompt Engineering techniques to accelerate Power BI development, data modeling, and documentation, reducing dashboard delivery timelines by 30%. • Automated reporting and data preparation workflows using SharePoint, Power Query, Power Automate, and AI assisted development practices, reducing manual effort by 70% and improving reporting accuracy. • Built forecasting and planning models using PySpark for maintenance operations, enabling proactive target setting, resource allocation, and workload optimization. • Developed executive-level dashboards featuring drill-through analysis, dynamic tooltips, KPI scorecards, and interactive visualizations, reducing analysis time by 35% and improving stakeholder adoption. • Partnered with Facilities, Finance, Operations, and Business stakeholders to translate complex requirements into scalable analytics products, delivering data-driven solutions that improved decision-making and operational efficiency.