Analytics Engineer

As an Analytics Engineer you will sit at the intersection of data engineering, analytics and business insight. Your primary mission is to turn raw data into well-structured, reliable and accessible data products that empower business users and decisionmakers. You'll work closely with stakeholders to translate business requirements into functional data pipelines, models and visualizations; focusing on analytics deliverables rather than platform administration.YOUR JOBUnderstand business needs and translate them into a technical solution: gather requirements from business stakeholders, understand their KPIs and information needs and design data products to meet these needs.Data modelling: design and maintain analytical data models (e.g. dimensional models, data marts) to reflect business logic and support reporting/analysis.Data transformation & pipelines: build, maintain and optimize data pipelines/ETL or ELT flows (SQL, Python, cloud-based data warehouse to extract, clean, transform and load data.Data visualization & reporting: build dashboards/reports in BI tools (e.g. Power BI, Tableau or equivalent) so that business users can explore and understand metrics and trends.Collaboration with stakeholders: work with business and IT teams, to ensure data solutions meet real needs; act as bridge between technical and non-technical teams.Data governance & quality: ensure data models and pipelines adhere to governance, documentation, and quality standards; implement data validation, testing, lineage and documentation of data flows.Focus on data products: deliver usable, stable and well-documented data products (models, tables, dashboards) that business users can rely on; not just building infrastructure.YOUR SKILLSStrong proficiency in SQL and experience writing pipelines with SQL.Experience with data modeling: understanding of dimensional modeling, fact/dimension tables, star/snowflake schemas or equivalentWorking knowledge of Python is a plusExperience with BI / data visualization tools such as Power BI or Tableau to create dashboards or reports that serve business needsFamiliarity with cloud data platforms, data warehouses and data lakehousesGood business & data understanding: ability to work with stakeholders, translate business needs into data requirements, understand domain logic and deliver useful data productsStrong communication skills: able to explain technical data concepts to non-technical stakeholders; document data models, transformations, lineage and business logic clearly Fluent in Dutch/French and EnglishOUR OFFERWe work with both freelancers and permanent employees. If you choose a permanent position, you can expect the following package:A competitive salary package, including a company car and excellent benefitsThe opportunity to work with the latest Microsoft toolsTraining, knowledge sharing, coaching, and mentoringColleagues who know their craft, in an open and transparent working environmentA warm, open culture with plenty of room for fun: from game nights to ski trips, and from family days to sports activitiesInterested? Don't hesitate to apply