Senior Data Analyst: Drive Strategy with Dashboards

DECATHLON Belgium NV; Evere; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

A meaningful project

Real impact

Headquarters in Brussels (Evere)

Job summary

Decathlon Belgium NV in Brussels (Evere) is seeking a data analyst to translate business needs into actionable analytics; you will use SQL, Python, and BI tools to turn data into decision-making levers for business teams.

You will explore and clean data, build reusable metrics, test hypotheses with models, and present findings through dashboards to non-technical colleagues; collaboration and proactive thinking are valued.

Qualifications

• Bachelor's or Master's degree in engineering, informatics, or statistics with specialisation in data engineering, big data or data science.
• 3+ years hands-on experience as a data analyst.
• Proficient in SQL and Python; knowledge of R is a plus.
• Ability to create high-impact dashboards with Tableau, Looker Studio, or Power BI.
• Experience with cloud environments (AWS, GCP, or Azure) and data tooling like dbt.
• Familiarity with dbt, DataBricks, Gen AI, A/B testing; product mindset.

Responsibilities

• Translate business needs into precise analytical questions.
• Explore and clean data from internal and external sources using SQL, Python, or dbt.
• Build reusable metrics, prototyping, and test hypotheses with statistical models.
• Explain analyses through visual storytelling to non-technical colleagues.
• Collaborate in a team; document methods on Git and share best practices.

Skills

SQL

Python

R

Tableau

Looker Studio

Power BI

Data storytelling

Problem solving

French (fluent)

English (good)

Education

Bachelor's or Master's in engineering / informatics / statistics

Tools

dbt

DataBricks

AWS

GCP

Azure

Job description

Decathlon Belgium NV in Brussels (Evere) is seeking a data analyst to translate business needs into actionable analytics; you will use SQL, Python, and BI tools to turn data into decision-making levers for business teams.

You will explore and clean data, build reusable metrics, test hypotheses with models, and present findings through dashboards to non-technical colleagues; collaboration and proactive thinking are valued.