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# Analytics Engineer

- **Company:** LACO
- **Location:** Diegem (Machelen), Belgium
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Logic, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, 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:** September 18, 2026
- **Apply:** https://www.careerjet.be/jobad/bea27b5d50c286cd9edddcae55566f5c2c

## About the Role

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
Your skills
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

As our Analytics Engineer, you'll sit right at the intersection of data engineering, analytics and business insight. You'll translate business requirements into functional data pipelines, models and visualizations, focusing on analytics deliverables rather than platform administration.
Your job
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
Your job
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 have strong SQL skills, able to write complex queries, optimise performance, and build robust data pipelines and data models


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