Brussels, Brussels Region, Belgium
I'm a Business Data Analyst with over a decade of hands-on sales leadership experience, specializing in building Power BI reporting solutions that help organizations turn their data into clear, actionable insights. I bridge the gap between sales operations and analytics by designing tools that teams actually use to manage performance and drive revenue. ---What I do--- • Design and maintain Power BI dashboards and reports that make KPIs, sales performance, and budget tracking easy to understand and act on • Build and optimize data models using Power Query, DAX, and relational structures so reporting is accurate, scalable, and efficient • Integrate and transform data from multiple sources (Excel, SQL, legacy BI tools, and other systems) to create a single, reliable source of truth for stakeholders • Translate complex analysis into clear business recommendations, adapting the message for sales leaders, management, and non-technical teams ---My unique perspective--- • With more than 13 years as a Senior Sales Manager , I understand the realities of quotas, margins, and client relationships from the inside. • That experience guides the way I design Power BI solutions: every report, measure, and visualization is built to support concrete decisions, not just to look good. ---My foundation--- • I strengthened my technical base through intensive data analytics training and multiple projects involving Power BI, Python, SQL, and modern BI practices. • I earned a Dataiku Core Designer certification, which complements my BI skill set when working on more advanced data workflows or analytics use cases. • My core focus remains building practical, impactful Power BI solutions for business users.
•Designed and automated key sales and performance reports used by top management to track global results by production line, item, sales, profit, growth, and business evolution, enabling faster strategic decisions and reducing manual work by several hours per week. •Built role‑based dashboards (with RLS) so team members can monitor their own results and those of their direct reports, while ensuring data confidentiality and preventing access to unauthorized teams. •Developed a complex bonus ranking system based on job title, targets, and performance metrics, used to calculate and validate sales incentives, reducing errors and disputes around compensation. •Automated the refresh and delivery of critical reports, ensuring they are ready before weekly/monthly meetings and freeing up time for analysis instead of manual data gathering and formatting. •Partnered with Sales, Finance, and IT to gather requirements and deliver tailored reporting tools, significantly reducing ad‑hoc requests and the number of manual spreadsheets in circulation. Tech stack: Excel, Power Query, DAX, M, Power Pivot, Power BI, Tableau, SAP BO, Snowflake SQL.
Developed end-to-end data analytics solutions across diverse industries (retail, energy, transport) using Python (NumPy, Pandas), R, and SQL Designed and built interactive dashboards and visualizations using Tableau, Power BI, Dash/Plotly to communicate insights to non-technical stakeholders Managed and queried databases (SQL, NoSQL) to extract, clean, and transform raw data into actionable datasets Applied statistical analysis (descriptive, exploratory, inferential) to uncover patterns and support business decisions Earned Dataiku Core Designer certification, demonstrating proficiency in modern data science and DSS platforms Collaborated in Agile/Scrum teams on multiple client projects, adapting quickly to evolving requirements and delivering solutions on tight timelines
Drove revenue growth and strategic planning for a family-owned business, managing sales operations, client relationships, and P&L performance Built and optimized sales processes through careful analysis, forecasting, and performance monitoring to improve efficiency and margins Led cross-functional teams to deliver customer solutions, requiring constant communication with finance, operations, and client stakeholders Identified operational inefficiencies and implemented solutions that streamlined workflows and improved business outcomes Managed business growth while maintaining strong client relationships and adapting to market changes—developing problem-solving skills that translate directly to data analytics