We are seeking for a Data Management intern for MTY HUB (Plaza Punto Valle Mty).
The role of the Data Intern is to learn the design, development, and evaluation of ML models to solve business problems and drive business growth. As a Data Intern, you'll work closely with team mates on establishing scalable and automated processes for large scale data analyses, model development, validation, and implementation. You'll learn how to work across business groups to identify and prioritize customer and business problems
Vendor/Materials Data Management
Innovation, continous improvement
Qualifications
- Graduation date - 2026
- Passionate with an aptitude to quickly learn new and emerging technologies
- Self-starter willing to learn new habilities
- verbal and written communication
- Able to obtain results from cross-functional teams
- Understand data life cycle and lineage
- Able to translate business needs to technical specifications
- Have experience coding or using one, or more, of the following: Python,SQL,Tableau,Excel, SAP or related tools
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What will you being doing?
- Apoyando en análisis de datos
- Automatización de procesos
- Validación de datos
- Procesos administrativos
- Validación de datos de proveedores
We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We're recognized around the world for welcoming people as they are. We create an inclusive culture where all forms of diversity are seen as a real value for the company. See what our people have to say about working for Schneider Electric.
https://youtu.be/C7sogZ_oQYg
Let us learn about you! Apply today.
You must submit an online application to be considered for any position with us. This position will be posted until filled.
It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Schedule: Part-time
Req: 009DAG