L'Oréal - INTERNSHIP in Data & Analytics In 2024

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

Düsseldorf, North Rhine-Westphalia

Overview

We are looking for you - as an INTERN (m/f/d) in data & analytics!

Details

Your tasks

Select, clean, maintain, and transform data from a heterogeneous mix of sources
Update, maintain, and develop interactive reports & dashboards
Support, maintenance, and development of data pipelines
Contribute to cross-functional data / data science projects

Why L'Oréal

We are driven by a passion for beauty that moves the world. We are the market leader in beauty and a pioneer in beauty-tech. As a result of the constantly changing world, cosmetics and technology are inseparably linked for us. Together with our consumers and partners, we anticipate trends and shape the beauty of tomorrow.
We live sustainability and environmental protection. By 2030, our commitments mark the beginning of a more radical transformation and embody our view of how a company's vision, purpose, and responsibility should look to meet the world's challenges. Our 88,000 employees in 150 countries are transforming our business to ensure that our activities respect the boundaries of our planet.

Opportunity is About

Computers & IT Economics & Business

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

Your profile

Enrolled in a degree program in computer science, data engineering, data analytics, economics, or comparable
Initial practical experience in a data related field (e.g., training, internships, part-time jobs)
First experience in SQL and basic knowledge of one modern programming language (e.g., Python)
Confident handling of MS PowerBI and MS Office (incl. Teams, Outlook, OneNote)
Experience with cloud technology (e.g., GCP) is a plus
Customer focused mindset, proactive mentality, structured working method, and strong communication skills
Business fluent in German and/or English (we are an international team)

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

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