Expert Data Catalog (f/m/d)
Job Description & Overview
About Decathlontechnology
Decathlontechnology is an innovative technology organization committed to engineering modern, scalable products. With a collaborative distributed culture, the team empowers aspiring engineers and analysts to take ownership of real deliverables, fostering accelerated professional growth through mentorship, code reviews, and industry best practices.
About the Role
We are seeking a proactive and driven Expert Data Catalog (f/m/d) to join our Data Analyst team. This opportunity is structured as a Onsite position based out of Villeneuve-d'Ascq, Nord. In this role, you will apply theoretical knowledge to production challenges, collaborate with cross-functional colleagues, and help build reliable, performant solutions.
The selected candidate will receive structured guidance, participate in active sprint milestones, and gain end-to-end exposure to modern development lifecycles, team standups, and codebase management.
Key Responsibilities
- Extract, transform, and clean raw datasets from multiple operational sources and relational databases.
- Build high-impact interactive dashboards, KPI reports, and visual presentations using PowerBI and Tableau.
- Write optimized, modular SQL queries to uncover growth bottlenecks, user retention patterns, and operational efficiency.
- Partner with product and business stakeholders to translate strategic questions into actionable data insights.
- Perform cohort analysis, funnel tracking, and statistical hypothesis testing on product metrics.
- Maintain automated data hygiene checks and alert triggers for core metric anomalies.
Requirements & Qualifications
- Proficiency in SQL (joins, aggregations, window functions) and relational database concepts.
- Working experience with Python data science libraries (Pandas, NumPy, Matplotlib/Seaborn).
- Strong grasp of dashboard creation in business intelligence tools like PowerBI, Tableau, or Metabase.
- Curious analytical mindset with attention to detail and ability to synthesize data into clear recommendations.
- Pursuing or completed a Degree in Analytics, Statistics, Computer Science, Engineering, or a related discipline.
Stipend is paid upon completing assigned project milestones along with maintaining required attendance and task completion as evaluated by the host organisation.
Skills & Tech Stack
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Stipend, if applicable, is contingent on assignment to a paid project and completion of required certifications. Full terms apply.