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# Analytics Engineer

- **Company:** Laco
- **Location:** Diegem (Machelen), Belgium
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Logic, Data Validation, Data Governance, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Systems, Data Visualization, Data Warehousing, Database Queries, Dimensional Modeling, Document-Oriented Databases, Python (Programming Language), Power BI, Cloud Services, SQL Databases, Data Streaming, Tableau (Software), Technical Data Management Systems, Cloud Platform System, Data Pipelines
- **Published:** June 7, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=4cd8e797b83e8c0c

## About the Role

Do you have experience in Tableau?, * You have strong SQL skills, able to write complex queries, optimise performance, and build robust data pipelines and data models

 * You have solid experience in data modeling, including dimensional modeling, fact/dimension tables and star or snowflake schemas (or equivalents)
 * You have working knowledge of Python, which is a plus.
 * You can use BI and data visualisation tools (Power BI, Tableau) to create dashboards and reports that truly support business decisions
 * You are familiar with cloud data platforms, data warehouses and data lakehouses
 * You have strong business and data understanding: you can work with stakeholders, translate business needs into data requirements, understand domain logic and deliver useful data products
 * You have excellent communication skills, able to explain technical data concepts to non-technical stakeholders and clearly document data models, transformations, lineage and business logic

## Description

* Understand business needs and translate them into technical solutions by gathering requirements from stakeholders, understanding their KPIs and information needs, and designing data products that meet those requirements
 * Data modeling: design and maintain analytical data models (such as dimensional models and data marts) that reflect business logic and support reporting/analysis
 * Data transformation and pipelines: build, maintain and optimise ETL/ELT pipelines using SQL, Python, and cloud-based data platforms to extract, clean, transform and load data
 * Data visualisation and reporting: build dashboards and reports in BI tools like Power BI, Tableau or an equivalent, enabling business users to explore and understand metrics and trends
 * Collaborate with business and IT stakeholders to ensure data solutions match real business needs, acting as a bridge between technical and non-technical teams
 * Data governance & quality: ensure data models and pipelines comply with governance, documentation, and quality standards; implement data validation, testing, lineage, and full 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, going beyond just building infrastructure, You'll meet one of our team leads or a subject-matter expert. Together, we explore your technical knowledge, your strengths and the topics you feel most confident in. Sometimes we include a small, practical exercise to understand how you think and how approach data challenges.


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