Description
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.
Good knowledge of the Google ecosystem and tools.
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.
Confident communicator able to present insights and recommendations effectively.
Fluent in French or Dutch, and English.
Key responsabilities
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.
Support the design and optimization of dimensional models (Star/Snowflake schemas, facts and dimensions).
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.
Requirements
Experience as Data BA / Functional Data Analyst
Strong Data Warehouse & ETL knowledge
Data modelling expertise (Star/Snowflake)
Strong SQL skills
Data profiling & data quality analysis
Business process understanding
Mapping & transformation logic experience
User stories, BRD & functional specs writing
SAP / ERP environment exposure
BigQuery & Google ecosystem knowledge is a plus