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IMERYS

Qui sommes-nous ?

Imerys is world leader in mineral-based specialties, with +16,400 employees and 4.4 billion euros revenue in 2021. We offer high value-added solutions to many different industries, ranging from process manufacturing to consumer goods. Our value-added solutions are formulated to meet the technical specifications of each customer and contribute to the performance of a multitude of products.

We have opportunities at 230 sites in about 50 countries. From beer to batteries, paint to...

Le poste
Référénce :634ea2ab9bfcd

Supply Chain Data Analyst Intern

  • Type de contrat : Stage long (6 mois)
  • Niveau d'études : Bac + 5 et plus
  • Expérience requise : Expérience non précisée
  • Salaire : non précisé
  • Lieu de travail : PARIS

Mission

Fonctions et responsabilités :

Supply Chain Analyst intern:

Thanks to his/her knowledge of the Business Planning & Supply Chain organization, in addition
to the training that will be provided, the intern will be able to :

Support the Business Planning and Supply Chain teams in managing data and building tools to help the
teams manage their operations

Understand and manage end-user requirements

Use data visualization to build easy-to-use dashboards

Understand the obstacles of working with different ERPs and how to find workarounds in data
consolidation

Train new users on the tools built

Profil recherché

Education: Bac+5 Student in a Top Tier
Engineering or Business School with an emphasis in
Data Analysis and/or Supply Chain management

Autonomous and self starter

Strong interpersonal and communication skills

Continuous improvement mindset

Interested to work in an international environment

Informations complémentaires

First experience/exposition on Data/Supply Chain
topics is a plus.

Languages: Full professional proficiency in English is
required. A second language (French, German or Italian..)
is a plus.

Proficiency in SQL

Proficiency with Data Visualization Tools (Tableau,
Data-Studio, or Power BI)

Experience with G Suite

At ease with handling large datasets from various sources,
data cleaning, data consolidation etc.

VBA, Python, or R knowledge is a plus