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Analytics Engineer

Laco -
Diegem

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 1 jour

Qualifications

Power BI
Modélisation des données
Tableau
SQL
ETL
Compétences en communication
Python

Description complète du poste

Do you enjoy transforming raw data into well-structured, realiable and accessible data products that empower business teams and decision- makers? Then you’ll feel at home at LACO.

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

Your skils

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

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

3

The final date

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!

Soumettre votre candidature

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lead data & cloud engineering emplois - brussels, bru

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : lead data & cloud engineering (brussels, bru)

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Ready to join our team as an analytics engineer? Get in touch!