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Data Automation internship

Procter & Gamble · PARIS, France

Full-time Posted 4 days ago

About this role

<p style="text-align:left"><b>Job Location</b></p>PARIS GO-ASNIERES-SUR-SEINE<p style="text-align:inherit"></p><p style="text-align:left"><b>Job Description</b></p><p>Do you have a passion for diving into data sets and uncovering insights that drive data-based decision-making? Join us in transforming P&G’s brand-building efforts through advanced analytics!</p><p></p><p>We are looking for a motivated Data Automation intern to join our team, focusing on automating critical processes within the Sales department in France. This internship provides a unique opportunity to collaborate with Data Asset Managers, Data Engineers, and Digital Product Managers, gaining valuable hands-on experience in data automation and process optimization.</p><p></p><p><b>YOUR CONTRIBUTION TO P&G’S SUCCESS:</b></p><ul><li><p><b>Data Process Automation (40%):</b><span> Identify and automate key data processes within the Sales department to enhance operational efficiency and accuracy.</span></p></li><li><p><b>Collaboration (30%):</b> Work closely with business teams to understand the processes inside out, and with Data Asset Managers, Data Engineers, and Product Managers to determine automation opportunities on current workflows.</p></li><li><p><b>Research and Development (20%):</b> Explore new tools and techniques in data automation, staying updated on industry trends to recommend innovative solutions.</p></li><li><p><b>Documentation (10%):</b> Support the documentation of automated processes and workflows, ensuring clarity and accessibility for team members.</p></li></ul><p>Avez-vous une passion pour investiguer des ensembles de données et découvrir des concepts qui favorisent la prise de décision basée sur les données ? Si oui, rejoignez-nous pour transformer les efforts de construction de la marque de P&G grâce à des analyses avancées !</p><p>Nous recherchons un(e) stagiaire en automatisation des données motivé(e) pour rejoindre notre équipe, en mettant l'accent sur l'automatisation des pro

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