Analytics Engineer

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

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

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards Continuous learning and access to cutting-edge Microsoft data & AI projects that keep you ahead of the curve Learning and growth through hands-on coaching and support from experienced colleagues Plenty of freedom to take initiative and make your mark A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA Our offer An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards Continuous learning and access to cutting-edge Microsoft data & AI projects that keep you ahead of the curve Learning and growth through hands-on coaching and support from experienced colleagues Plenty of freedom to take initiative and make your mark A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA Apply in 4 steps 1 Let’s meet! Time to get acquainted. We’ll dive deeper into your specific skills and expertise, and you’ll get the opportunity to ask us anything about how we work and what life is like at LACO. 2 Our second date 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. 3 The final date We’re almost there. Time to meet our HR and Operations Director in our office in Diegem. During a friendly talk, we’ll get to know you and you can get a feel of the atmosphere and culture at LACO. 4 An offer you can’t refuse Next up: getting down to the nitty-gritty. We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Welcome to the family! Apply in 4 steps 1 Let’s meet! Time to get acquainted. We’ll dive deeper into your specific skills and expertise, and you’ll get the opportunity to ask us anything about how we work and what life is like at LACO. 2 Our second date 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. 3 The final date We’re almost there. Time to meet our HR and Operations Director in our office in Diegem. During a friendly talk, we’ll get to know you and you can get a feel of the atmosphere and culture at LACO. 4 An offer you can’t refuse Next up: getting down to the nitty-gritty. We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Welcome to the family! Ready to join our team as an analytics engineer? Get in touch! LinkedIn This field is for validation purposes and should be left unchanged. Name(Required) First name Last name

Hi, I’m Anne. I look forward to getting to know you and exploring together whether LACO could be the right place for you to grow. Belgian data & analytics expert, turning data into lasting business value. Our expertise Let’s talk Ready to talk about your data? Want to join us? Want to follow us? © LACO NV 2026 | | | | Imagined by Manage Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.