Luciano Mingolla

Built a 3-layer reporting architecture (SAP ERP → SQL stored procedure → Power BI) to deliver the first structured visibility into container extra costs for Supply Chain and Finance teams Designed a Power BI dashboard tracking 6 KPIs: average extra cost per container, cumulative yearly spend, volume of containers incurring extra costs, and breakdowns by sourcing origin and freight forwarder — all benchmarked against a zero extra-costs target Identified cost drivers by sourcing origin and freight forwarder, enabling targeted operational interventions that reduced container extra costs in the first month of implementation Replaced a fully manual SAP export process with a SQL stored procedure that auto-rebuilds the consolidated view on each data load, cutting refresh time from hours to minutes

Independently managed end-to-end analytics projects — from SQL data extraction to Power BI dashboard delivery — with no supervision across multiple time zones Built operational KPI dashboards using DAX and data modelling, focused on logistics and business performance scenarios Applied SQL (joins, aggregations, window functions) to clean and transform large datasets for analysis and reporting Developed a public portfolio of applied analytics projects: github.com/lucianomingo-pixel/Data-analytics-portfolio Formalised applied skills through the Élite Data Analyst Programme (Level Up Tech Academy, 2025), covering SQL, Power BI, reporting automation and data modelling

Analysed delivery performance KPIs to identify operational bottlenecks, contributing to a ~15% improvement in key delivery metrics Built operational reports for internal teams tracking transit times, volumes and customs compliance across import/export processes Managed shipment data via EDI systems ensuring cargo release accuracy and daily operational continuity