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

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 engineering 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 Expertise: Leverage your existing Supply Chain experience, including a strong understanding of key subareas like fulfillment and sales & operations planning (S&OP), along with expertise in business processes, requirements, tools, systems, and data sources (e.g., SAP, FutureMaster, Manhattan). Understand and analyze complex data sets, identify trends, and provide actionable insights.
• Data Analysis & Reporting: Create, automate, maintain, and enhance reports, scorecards, and dashboards using SQL-based BI and planning tools (e.g., Power BI). Take ownership of existing Supply Chain reports, ensuring their accuracy and relevance. Prepare ad-hoc reports to address daily business inquiries. Clearly communicate findings through effective visualizations, written reports, and presentations.
• Stakeholder Management: Collaborate closely with a dedicated division or defined group of stakeholders (according to the SC functions) to develop tailored solutions that meet specific needs and generate value for teams and the organization.
• Data Roadmap & Product Rollout: Contribute to the development and execution of the DACH data roadmap. Actively participate in the rollout of Zone and Global data products, including process development and incident management. Specifically, work with the team on the gap analysis between existing Operations reports and new Zone/Global products. Support the integration of these products within the Data for Operations team.
• Data Engineering expertise: Select, clean, maintain, and transform data from diverse sources within the Supply Chain domain.
• Engineering Support: Utilize your engineering skills to build and maintain data pipelines, ensuring data quality and efficient processing. Contribute to the design and development of database structures and models, optimizing data accessibility and usability.
• Knowledge Sharing & Mentorship: Continuously learn and share knowledge and experiences with data team colleagues and other interested parties. Act as a data ambassador, educating the division/organization about the value of data through presentations, trainings, and one-on-one interactions.

Your Profile:

• Education: Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Supply Chain Management, Data Analytics).
• Experience: 2-4 years of proven experience in data analysis within a Supply Chain environment. Demonstrable experience working with Supply Chain data and reporting. Experience with data engineering principles and practices is a strong plus.
• Technical Skills:
  • Programming Languages: Proficiency in SQL and Python (or similar scripting language). Experience with MDX and DAX is a plus.
  • Tech Stack: Practical experience with GCP and the Microsoft BI stack (Power Query, Power Automate, Excel). Experience with BigQuery is highly desirable.
  • Data Visualization: Strong visual design skills for creating information-rich, easy-to-understand reports using tools like Power BI or Looker.
  • Database Knowledge: Good understanding of relational and non-relational database models.
• Functional Skills
  • Strong analytical and problem-solving skills.
  • High degree of customer focus and a hands-on mentality.
  • Fundamental project management skills, including project planning, task prioritization, and communication.
  • Effective stakeholder management skills.
• Language Skills: Proficient in English. German language skills are highly advantageous.

If you are a data-driven individual with a passion for Supply Chain optimization and a desire to contribute to a dynamic international environment, we encourage you to apply!

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 & Inclusion

L'Oréal is an employer that is committed to equal opportunities, diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on gender, color, religion, sexual orientation, origin, disability, gender identity or other protected characteristics. Diversity & Inclusion is very important to us and is fully lived.