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Pierre Fabre Laboratories recherche un(e) stagiaire Data/BI pour accompagner des projets de digitalisation et d’optimisation des Master Data.
Vous contribuerez à la fiabilisation des données, au déploiement de dashboards et à l’amélioration des processus opérationnels dans un contexte dermo-cosmétique.
We are Pierre Fabre Laboratories, a global leader combining pharmaceutical expertise with dermo-cosmetics to support consumers and patients at every stage of their care journey.
Our portfolio includes several medical franchises and international brands such as Eau Thermale Avène, Ducray, A-Derma, Klorane, René Furterer, and Pierre Fabre Oral Care.
By joining us, you become part of a meaningful company where the human dimension is essential. You become a participant in the \"We Care Movement\", a movement that values excellence and innovation within passionate teams. Together, we push the boundaries of science to unite health and beauty for the benefit of all, because Every time we care for a single person, we make the whole world better.
Present in 120 countries with a team of over 10,000 employees, we are proud to create a scientific and human impact, today and tomorrow! If caring is at the heart of your values, join Pierre Fabre Laboratories and become a key player in the \"We Care Movement\".
Votre rôle au sein d'une entreprise pionnière en pleine expansion.
Sous la responsabilité administrative du responsable S&OP long terme et la responsabilité technique d'un Data Analyst de l'équipe, vous contribuerez à la fois à des projets structurants et à des sujets opérationnels du quotidien.
Le stage se déroulera sur notre site Péraudel, à Castres (81) et débutera à partir de janvier 2027.
Merci d'indiquer vos dates de disponibilités dans votre CV.
Vos compétences au service de projets novateurs. Nous recherchons un(e) étudiant(e) en Master ou école d'ingénieur, avec une spécialisation en Data, informatique ou domaine équivalent.
Maîtrise avancée du pack Office
Connaissances, même partielles, sur plusieurs des outils/langages suivants : Python, C++, Visual Basic, Access, SAP, Alteryx, et tout particulièrement Tableau et Power BI pour la visualisation de données
Notions en machine learning, deep learning, et idéalement en IA générative (un plus apprécié)
Familiarité avec la méthodologie Agile, ou envie de la pratiquer
At Pierre Fabre Laboratories, we believe that our greatest asset is our people.
We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race, color, religion, creed, national origin or ancestry, sex, sexual orientation, gender identity or expression, age, physical or mental disability, veteran or military status, genetic information, or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identify, and maintain employment statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. Please inform the company's personnel representative if you need assistance completing this application or to otherwise participate in the application process. Thus, we commit to considering all applications equally, without fail.