Procurement Business Digital Analyst Intern

In Schneider Electric, everything we do is geared towards advancing progress and sustainability for all-our colleagues, customers, partners, and the communities and societies we serve.

Whether it's through our products, software, and services that propel the digital transformation of energy management and automation, or through our corporate citizenship and volunteer activities, we make a meaningful impact by empowering people and organizations to become more resilient, electric, and digital.

Which is where you come in. Working at Schneider Electric means working toward a cleaner, better world. You are part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.

We are now hiring interns for our H1 2026 cohort! Internships will start in 2 batches: January 2026 or February 2026. Please indicate your exact availability in your application. Students who can commit full-time will be preferred.

• To assist the Digitalization SPOC with the continuous design, and the development of a pricing tool which allows the identification of opportunities across all different categories
• Understanding how the evolution of opportunities can be spread across all the different categories and manufacturers
• Develop user-interface (human machine interface) for the tool ( persona based), for the status, opportunities, outstanding items, as well as a management view for the tool
• Pr o ject Management - you will have ownership of the project, together with SPOC, as a business sponsor and product owner, together with Schneider Digital
• Perform data analysis ( SQL, Microsoft Excel, PowerApps): prepare data input from various manufacturers into the d atabase, including market -based information from Octoparts , siliconexperts , etc., and more
• Assist in cleaning up the data and preparing database for negotiation support
• Manage Price Implementation Tracker to ensure that the annual price is implemented on time

• Bachelor's degree in Data Science , Business Analytics, Supply Chain/Logistics, Engineering, Computing, Mathematics, Physics or Business
• With strong IT background especially on Excel or Tableau and/or some programming skills ( vba , python, SQL)
• Knowledge of Database sets - SQL, MS Dataverse, vldb
• Knowledge of cloud platforms - Azure, AWS, Google and the knowledge of what some of their tools can offer
• Passionate about starting something with their skillset, dataset cleanup , analytics and eager to learn new tools
• Be prepared to develop a parallel project to test and implement in a bootleg version for ease of use
• Think about using AI to improve user experience as well as improving the processes
• Strong communication skills to communicate effectively globally

• Global Family Leave
• Comprehensive medical coverage for employee and dependents
• Worldwide Employee Stock Ownership
• Hybrid work arrangement (New Ways of Working)
• ...and more!