Data Analyst (m/w/d) at LOral
40476 Düsseldorf, , Germany -
Full Time


Start Date

Immediate

Expiry Date

03 Sep, 25

Salary

0.0

Posted On

04 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

Responsibilities

THE ROLE:

We are seeking a highly motivated and experienced Data Analyst (m/w/d) with a strong engineering background to join our Corporate DACH Data Team. This role will be instrumental in driving data-driven decision-making across key functions like Supply Chain, Demand Planning, and Finance or Sales&Commerce, 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 or Sales&Commerce data and processes.

YOUR TASKS:

  • Business Expertise: Leverage your existing Supply Chain or Sales&Commerce experience, including a strong understanding of key subareas, 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 or Sales&Commerce 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 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 reports and new Zone/Global products. Support the integration of these products within the Corporate Data Team.
  • Data Engineering expertise: Select, clean, maintain, and transform data from diverse sources.
  • 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.
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