Bachelor's or Master's degree in a quantitative field (Business Engineering, Statistics, Computer Science, Data Science or equivalent).
Strong proficiency in SQL is required, including data profiling, validation, anomaly detection and data quality checks.
Strong experience in Data Warehouse and data transformation environments, with solid understanding of data modelling, ETL flows, business rules and mappings.
Strong ability to translate complex analytical results into clear business recommendations.
Analytical mindset combined with strong business understanding in customer-driven environments, including ability to define processes and translate requirements into data structures.
Fluent in French or Dutch, and English.
Translate business requirements into scalable and coherent data models aligned with enterprise Data Warehouse architecture.
Analyze and document end-to-end data flows, mappings, transformation rules, and ETL/DWH logic.
Collaborate with business stakeholders to define processes, functional requirements, and data definitions.
Produce high-quality documentation including user stories, Brds, and functional specifications.
Perform data profiling, validation, anomaly detection, and data quality analysis using SQL.
Ensure data lineage, consistency, and integrity across transformation and reporting layers.
Work closely with technical teams to translate business needs into robust data transformation solutions.
Navigate and analyze data within SAP or other ERP environments to identify relevant business information.
Contribute to initiatives involving BigQuery, Google ecosystem tools, and data visualization platforms when relevant.
Experience as Data BA / Functional Data Analyst
Strong Data Warehouse & ETL knowledge
Data modelling expertise (Star/Snowflake)
Data profiling & data quality analysis
Business process understanding
SAP / ERP environment exposure