ALTERNANCE 12 MOIS - À partir de septembre 2026 - Data Business Intelligence Analyst - Master 1/2

Loreal
Loreal

Intern

Clichy, France

Posted on Sep 18, 2026

1 YEAR APPRENTICESHIP - Starting September 2026 – Data Business Intelligence Analyst – Master's ½

Life is too short for a boring career! 🚀

At L’Oréal Groupe, work doesn't mute you, it amplifies you. We believe your career should give you the same thrill, drive and fulfillment as your personal interests. Here, creativity drives innovation and ideas become impact. Grow across brands, markets, and divisions, and take your career in any direction you choose. With the global scale of L’Oréal, your growth knows no boundaries.

90% of our apprentices are proud to work within the L'Oréal Group.

88% of our apprentices recommend L'Oréal for an apprenticeship.

(Internal "Care Connect Survey" May 2025)

Ready to live this unique experience? Don't waste any time and discover our offer.

Your Missions

As a key member of the Data team, you will tackle concrete objectives and stimulating responsibilities. You will actively participate in:

  • Monthly Cycle Support: You will manage the demand transmission between affiliates, the S&OP process, and factories to ensure operational alignment.
  • Analytics Dashboard Creation and Support: You will design, modify, and support analytical dashboards, handle Google Cloud Platform remediation, and monitor S&OP KPIs.
  • S&OP Transformation Projects: You will contribute to transformation initiatives, including new product launches and inventory parameter optimization.

Skills you will develop in this role:

  • Agility
  • Rigor & Attention to Detail
  • End-to-End Supply Chain Vision
  • Power BI & GCP Technical Adoption
  • PMO / Project Management Knowledge
  • Strong Communication Skills

Your Profile

  • Education: You are a Master’s student (Year 4/5) from an Engineering School, University, or specialized school, seeking an one year apprenticeship.
  • Languages: You are fluent in both English and French.
  • Technical Skills: You master at least one data programming language (Python is a plus, or R), have solid knowledge of SQL, and are familiar with visualization tools (Power BI, Tableau, Looker Studio). Knowledge of Cloud platforms (AWS, GCP, Azure) and/or Machine Learning libraries (Scikit-learn, TensorFlow, PyTorch) is an asset.
  • Soft Skills: You possess an exceptional analytical mindset and are rigorous, curious, and passionate about solving complex problems through data. Your autonomy, ability to learn quickly, and skill in communicating technical results to non-technical audiences will be major assets.

Your Benefits

  • 12 months surrounded by passionate teams.
  • Transport: 75% of transport costs covered
  • 1 day of remote working per week
  • 25 days holiday per year (2.08 days/month)
  • 8 days off per year (RTT)
  • Annual profit-sharing bonus & Group Savings Plan
  • Health insurance & Works council (CSE)

L'Oréal Group Perks: Access to the L'Oréal Learning Platform to boost your development, Staff Sale at preferential rates, Friends & Family flash sale for your loved ones.

And depending on the campus: Gym & Concierge services.

The Recruitment Process

  • Recruiter interview - 30 min: To introduce yourself and discuss the position & the L'Oréal Group.
  • Meeting with your potential future manager - 45 min: To discuss the missions of the role.

L'Oréal Groupe

Join L'Oréal, the world leader in beauty, present in over 150 countries with a portfolio of 37 international brands across four divisions: Consumer Products, Professional Products, Dermatological Beauty, and Luxury.

At L'Oréal, we create beauty that moves, inspires, and unites. Our mission is to invent the future of beauty by combining the best of technology, science, and natural inspiration, and to offer everyone inclusive, responsible, and forward-looking beauty.

And because equal opportunities and diversity are strong values within the Group, as a beauty leader, we consider every application.

Whatever your gender identity, sexual orientation, visible and/or invisible disability(ies), social or cultural origins, health status, age, religion, or any other element that makes you unique, our teams will carefully review your profile.

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