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L'Oréal

Data Analyst (m/f/d) - Data for Operations (DACH)

L'Oréal
Germany · Full-time · Not Applicable

Join us to create the beauty that moves the world!

As a global leader and Beauty-Tech pioneer, we are looking for passionate talents who want to actively shape our success story. In a constantly changing world, we identify the latest trends, act data-driven, and develop innovations that merge beauty with technology.

Over 86.000 employees in over 150 markets commit themselves every day to turn our vision of a sustainable and forward-looking beauty industry into reality.

At L’Oréal, we live a culture of learning, personal development, and entrepreneurship. We offer our employees numerous opportunities to expand their skills, take responsibility, actively shape their careers, and thus have a positive impact. With our long history of innovation and our commitment to sustainability issues, we set standards for responsible entrepreneurship.

Are you ready to shape the beauty world of tomorrow? Then become part of our team.

The Role

We are seeking a highly motivated and experienced Data Analyst (m/f/d) with a strong technical background to join our DACH Data for Operations team. This role will be instrumental in driving data-driven decision-making across key functions like Supply Chain, Demand Planning, and Finance, empowering our DACH business with advanced reporting, visualization solutions, and supporting the rollout of new Zone and Global products. This role requires deep understanding of Supply Chain data and processes.

Your Tasks

  • Supply Chain: Leverage your Supply Chain expertise to analyze complex data sets and identify actionable business trends.
  • Data Analytics: Create and automate Power BI dashboards and SQL-based reports to drive data-driven decision-making.
  • Stakeholder Management: Collaborate with key divisions to develop tailored data solutions that generate measurable value.
  • Data Roadmap: Support the DACH data strategy by rolling out global products and performing detailed gap analyses.
  • Data Engineering: Build and maintain robust data pipelines and database structures to ensure high data quality and usability.

Your Profile

  • Background: Degree in a relevant field (e.g. Computer Science, Supply Chain Management, Data Analytics) with 2-4 years of experience in SC data analysis and engineering.
  • Tech Stack: Proficient in SQL, Python, and GCP (BigQuery) with strong skills in Power BI, DAX, and Excel.
  • Analytical Mindset: Strong problem-solving skills and the ability to turn complex data into clear visualizations.
  • Project Management: Hands-on approach to stakeholder management, project planning, and task prioritization.
  • Communication: Proficient in English; German language skills are a strong advantage for the DACH region

Our Offer

  • A permanent employment contract in a crisis-resistant, growing market with a comprehensive range of social benefits.
  • An attractive and competitive remuneration package as well as a voluntary profit-sharing scheme.
  • Individual personal and professional development, a strong learning curve, strong team spirit and an open, cooperative corporate culture.
  • Diverse national and international development perspectives.

Diversity, Equity & Inclusion

At L’Oréal, we know that true innovation and creativity arise from diversity. That’s why we actively foster a work environment grounded in diversity, equity and inclusion. We value the unique perspectives and talents of our employees as the key to our success.

Discrimination or harassment of any kind, for example, based on sex, skin color, religion, sexual orientation, gender identity, age, origin, disability, or other protected characteristics, is not tolerated at our company. Diversity and inclusion are firmly embedded in our corporate culture. If you’d like to learn more about this and our initiatives in this area, please visit here.

Key Skills

Ranked by relevance

power bi sql data analysis embedded python gcp dax
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Posted
Feb 23, 2026
Type
Full-time
Level
Not Applicable
Location
Düsseldorf
Company
L'Oréal

Industries

Manufacturing Personal Care Product Manufacturing

Categories

Other Information Technology Engineering

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