WORKING STUDENT (m/f/d) Data & Analytics from December - #2705422
L'Oréal
Date: vor 1 Stunde
Stadt: Düsseldorf
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
Working Student – Data & Analytics (m/f/d) from December 2026!
At L’Oréal, we’re not just building brands, we're shaping how the world experiences beauty. Intrigued? Keep reading, this might be the opportunity you've been searching for.
A Day in the Life
Based in Düsseldorf, you will join our Corporate Data & Analytics team as a Working Student, reporting directly to a Senior Data Engineer. In this role, you will help us bring data to life and turn complex pipelines into actionable business insights.
Your Key Missions Will Include
We are looking for a proactive student with a growth mindset. To succeed, you should have:
Join us at L’Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.
We are committed to ensuring inclusive recruitment processes and the ethical and fair support of every candidate. The Group strictly prohibits any discrimination against candidates based on gender identity, sexual orientation, visible or invisible disability, origin, age, or religion. If you would like to learn more about our Diversity, Equity & Inclusion initiatives, feel free to take a look here.
At L’Oréal, we’re not just building brands, we're shaping how the world experiences beauty. Intrigued? Keep reading, this might be the opportunity you've been searching for.
A Day in the Life
Based in Düsseldorf, you will join our Corporate Data & Analytics team as a Working Student, reporting directly to a Senior Data Engineer. In this role, you will help us bring data to life and turn complex pipelines into actionable business insights.
Your Key Missions Will Include
- Data Preparation & Quality: Clean, transform, and integrate data from various internal and external sources.
- Dashboards & Automation: Support the design, development, and automation of intuitive PowerBI dashboards to track key KPIs.
- Data Governance & Flow: Perform source-to-target analyses to ensure a clean, reliable, and future-proof data repository.
- Data Literacy: Create compelling visuals and newsletters to help internal teams easily integrate data into their daily workflows.
We are looking for a proactive student with a growth mindset. To succeed, you should have:
- Data Analytics: Ability to assemble and transform raw data into clear business insights.
- Data Science & Tools: Basic programming (Python, SQL) and visualization skills (Microsoft PowerBI).
- Analytical Thinking: A sharp eye for detail, data quality, and structured problem-solving.
- Collaboration: Strong communication skills in English and German to upskill stakeholders.
- Project Support: High motivation to manage tasks independently in a fast-paced environment.
- A place for you to leave your comfort zone and grow beyond your potential. Here, you’ll be encouraged to try new things and take risks!
- Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal
- An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!
- A place where you can contribute to something bigger! Many of our brands have societal/environmental causes to make concrete difference.
- 20 hours of work per week at an hourly wage of €17.53 and the opportunity to advance your personal development
Join us at L’Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.
We are committed to ensuring inclusive recruitment processes and the ethical and fair support of every candidate. The Group strictly prohibits any discrimination against candidates based on gender identity, sexual orientation, visible or invisible disability, origin, age, or religion. If you would like to learn more about our Diversity, Equity & Inclusion initiatives, feel free to take a look here.
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