Brussels, Brussels Region, Belgium
The culmination of my studies at Politecnico di Milano with a Master's in Management Engineering has empowered me to drive strategic insights at Whirlpool Corporation. My role as a Sales Business Analyst is enriched by leveraging advanced data analytics, where I develop dashboards and conduct rigorous sales and market analyses using tools like Power BI and Excel. My approach blends technical proficiency in Python with practical business acumen, enabling me to price products accurately and devise impactful sales campaigns. The synthesis of my educational background and hands-on experience reflects my commitment to excellence and a data-driven mindset, which is integral to developing informed strategies that propel our team forward.
-Developed sales and market analysis dashboards and reports utilizing Power BI -Conducted trend and variance analysis on sales plans versus actual figures using Excel and DAX from category level to SKU level -Priced products and performed cost analysis using SAP functions and statistical simulators -Designed sales campaigns by leveraging historical and market data with aid of statistical tools and machine learning algorithms to analyze historical data, leading to more informed strategy development -Conducted comprehensive benchmarking for wide range of products, more than 5 product categories, across 6 different regions in Europe -Provided data-driven insights for marketing and business development to support strategic decision-making
• Utilized Power BI, Excel, and Python to gather and analyze supplier, inventory, and distribution data, and assessed areas in need of improvement for optimization. • Performed BOM forecasting and planning linked to manufacturing resource planning (MRP) transactions involving more than 50 goods, and utilized Excel to create customized reports for stakeholders. • Introduced and monitored essential KPIs related to the improvement of efficiencies, such as Overall Equipment Effectiveness (OEE) and delivery time, utilizing Power BI and Python for data visualization and analysis.
• Collaborate with stakeholders and project teams to gather and analyze project requirements, using SQL to extract and manipulate data from various sources. • Create project dashboards and visualizations using Power BI to provide stakeholders with real-time visibility into project status and KPIs. • Use Python and Excel for advanced data analysis and forecasting to identify project risks and opportunities and provide data-driven recommendations for project management.
• Develop and execute digital marketing strategies using tools such as Google Analytics, Data Studio and working with Yektanet Company. • Measure and report on campaign performance using tools like Power BI and Excel. • Increased Instagram account impressions by 50% and followers by 45% within 6 months by creating engaging content and using targeted hashtags.