Data Scientist / Analytics Engineer Intern
@ Labelium

Paris, Ile-de-France, France
€25,000
On Site
Temps complet
Posted 6 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @labelium.com
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Job Details

About M13h

M13h is a team of passionate consultants dedicated to business and marketing performance. As part of Group Labelium, they combine strategic vision with expertise in Data, Marketing and Technologies to drive a data-driven approach for leading brands such as LVMH, FDJ, Salomon, and Clarins.

Role Overview

As a Data Scientist / Analytics Engineer Intern, you will work at the crossroads of data science, analysis and engineering. This role allows you to gain a comprehensive view of data functions applied to marketing while working on various projects.

Responsibilities

  • Analyze and model client data.
  • Build data flows and models using modern data stacks (SQL, dbt, ELTs, GCP/AWS/Azure/Snowflake).
  • Present data through BI tools and visualizations.
  • Create dashboards and pilot tools.
  • Support projects like campaign performance attribution models, building a Customer Data Platform, infrastructure migration, and client segmentation.

Qualifications

You are from a top business school, engineering school, or equivalent, with strong SQL skills and interest in modern cloud data platforms. Familiarity with dbt and ELTs is expected; Python is a plus. You must demonstrate good analytical skills, autonomy, and rigor.

Why Join M13h?

M13h offers a unique environment for quick professional growth with senior mentorship, extensive training, and a variety of diverse projects. Enjoy attractive benefits including telework policy, full coverage of transportation and health, access to gyms, team events, and meal vouchers.

Key skills/competency

  • SQL
  • dbt
  • Python
  • Cloud
  • ELTs
  • BI
  • Dashboards
  • Data Analysis
  • Marketing
  • Data Modeling

How to Get Hired at Labelium

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight SQL, dbt, and analytics skills.
  • Show projects: Include examples using cloud data stacks.
  • Research Labelium: Understand their data-driven marketing approach.
  • Prepare case studies: Be ready for practical data challenges.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and optimization techniques.
Practice building models with dbt and ELTs.
Familiarize with cloud data platforms essentials.
Work on sample projects using BI tools.

Behavioral Questions

Describe a project challenge you resolved.
Explain teamwork in data-driven environments.
Discuss handling tight project deadlines.
Share a learning experience from mentorship.

Frequently Asked Questions