Богачев Александр

Led a centralized BI & Analytics function of 18 specialists and defined an executive KPI framework with 30+ metrics, reducing ad-hoc reporting requests by 50%. Launched Self-Service BI from scratch (800 MAU in 9 months), reduced BI incidents by 70%, and built shrinkage analytics dashboards that contributed to a 0.5pp drop in write-off rate.

Owned stakeholder requirements and acceptance for reporting and analytics, and delivered core OLAP SSAS Tabular semantic models with DAX and performance tuning. Improved BI MAU by 20% YoY and increased refresh performance by up to 90% across 10+ critical reports, while building a supplier service level system that improved service level by 5%.

Collected and formalized stakeholder business requirements and drove Power BI reporting adoption across operational teams by building 30+ reports with documentation, increasing active report usage by 60% and reducing ad-hoc data requests. Built BI data marts using Power BI Dataflows and Azure Data Factory, and performed ad-hoc analytics and investigations using SQL and Python.

Provided analytical support for EPC projects and in-house manufacturing, including plan-vs-actual analysis, risk assessment, resource forecasting, and project schedule planning in MS Project. Automated reporting workflows with Excel VBA macros (reducing preparation time by 3x) and delivered financial and operational analytics including manufacturing KPI monitoring via Power BI.

Completed a Master’s degree in Quality Management at Peter the Great St. Petersburg Polytechnic University from 2017 to 2019.

Completed a Bachelor’s degree in Automation of production and technological processes at Belgorod State Technological University from 2013 to 2017.