Prácticas en Data Transformation Intern STP26

Do you want to live the experience of a Multinational with the dynamism of a Startup ?

If you are looking for an internship that will test your skills and boost your career, our Schneider Trainee Program is for you.

Be part of an inclusive environment in which you can co-create solutions to key challenges in the industry learning from our experts .

Take your creativity and innovation to another level while enjoying a paid internship with flexible hours and interactive workshops.

Join our #SEGreatPeople

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🏢 Departament and Project description :

Our mission is to transform the way the Meliana plant makes decisions by interconnecting, integrating, and unifying all data sources across departments.

We aim to build a strong and sustainable data culture that becomes part of the plant's DNA for years to come. Through this initiative, we will ensure high data quality with dedicated control mechanisms, enable advanced simulation capabilities, provide instant reporting through BI and GenAI tools, and remain fully adaptable to future changes.

This project represents a strategic step toward building a smarter, more connected, and more efficient factory-where data flows seamlessly and supports every decision.

• How to analyze data (metrics, processes, risks) and extract meaningful insights.

• How to correlate indicators to identify trends, anomalies, or emerging risks.

• How to benchmark internal metrics against global and local best ‑ practice guidelines.

• How to analyze data requirements from support functions to understand operational needs and constraints.

• How to build high ‑ impact dashboards and visualizations using Tableau.

• How to create instant reporting flows that support decision ‑ making across departments.

• How to document processes, visualizations, and analytics workflows in a clear and structured way.

• How to review the current KPI framework of the team and identify improvement opportunities.

• How to validate KPIs through data quality checks, reliability assessments, and root ‑ cause analysis.

• How to identify different data sources and data entry points across the plant.

• How to list and assess shadow IT applications used in different teams.

• How to define a unified data hierarchy to standardize data sources, naming conventions, and applications.

• How to define data governance roles, people hierarchy, and responsibilities across departments.

• How to establish data audit structures to ensure accuracy, traceability, and long ‑ term data quality.

• Degree or Master's student in Industrial Engineering , Automation Engineering , Industrial Organization Engineering or Data Analytics .

• Knowledge or interest in learning :

• Microsoft Office ( Teams , Word, Excel , PowerPoint)

• Microsoft SQL Express .

• Tableau .

• Python.

• PLC Programming .

• Visio .

• Analytical mindset and strong attention to detail .

• Clear and effective communication skills with the ability to collaborate across teams .

• Outgoingness and desire to learn

• Be able to work between 4 and 6 hours a day ( Monday to Friday) and be available in the mornings . The schedule is flexible and you can start between 8 and 10am.

• To be able to make an internship agreement with your university or study center for a period of at least 6 months .

• Be available to start between February and March .

• High English level

• An experience specially designed for your learning and development

• 💵 Paid internships (depending on the schedule you establish, min. 20 hours and max. 30 hours per week, 700-900 / month)

• 🤩 Track your evolution and learning

• ⌚ Time flexibility to combine it with your studies

• One day of free disposal per month (cumulative)

• Possibility to collaborate remotely depending on the position (up to 2 days per week).

• Duration of 6 months with the possibility of extension or contracting