Data Business Analyst Retail Industry Brussels - 3 days onsite with 2 days remote As a Data Business Analyst, I act as a key interface between business stakeholders and Data Engineering teams, ensuring that data solutions — from reporting to advanced analytics — are robust, scalable, and fully aligned with the overall data strategy. I play a central role in translating business needs into actionable data solutions, while ensuring data quality, consistency, and usability across the organization. Key responsibilities: Bridge the gap between business and technical teams by translating business requirements into detailed data specifications (data mapping, transformation logic, KPI definitions) Collaborate with data architects to design scalable conceptual and logical data models supporting business growth Perform advanced SQL analysis, including data profiling, validation of business rules, and data quality assessments Produce comprehensive documentation (BRDs, functional specifications) ensuring clear data lineage and warehouse integration Lead root cause analysis on data discrepancies, pipeline issues, and data inconsistencies Define and execute test strategies and UAT, ensuring that delivered data accurately reflects business logic Contribute to data governance initiatives, including data dictionaries, metadata management, and best practices Ensure alignment between delivered solutions and the overall data architecture and strategy Environment & technologies: SQL (complex joins, data profiling), Data Warehousing (Star/Snowflake schemas), ETL processes, Data Modelling (logical & physical) Experience with SAP BW (InfoCubes, DSOs, BEx) and SAP data extraction is a strong plus Profile: Background in Business, IT, Engineering, or related fields Experience in consulting or a similar Business Analyst role in data environments Strong stakeholder management and communication skills Retail or service industry experience is a plus