Chef(fe) De Projet Data & It - Stage - H/f

Naturactive

Muret, France
Attractive gratification; weekly remote work allow...
Hybrid (with possibility of remote work after one month of integration)
Student in 4th or 5th year of engineering or business school
Specialization in data science, computer science, or statistics
Experience with data analysis and treatment tools
Naturactive, part of the Pierre Fabre Group, is seeking a Project Data & IT Intern to support its operational teams in implementing multifaceted projects within the Commercial Supply Chain. The role involves data governance, analysis, and the development of interactive dashboards, contributing to the significant transformation project known as ARGAN

Job Summary

  • This internship supports the ARGAN project, a major logistics transformation involving warehouse openings, system changes, and organizational redesign.
  • The role involves conducting multi-disciplinary projects on data governance, analyzing business needs, and designing interactive dashboards.
  • Candidates will benefit from an attractive stipend, weekly remote work options after one month, and product discounts at Naturactive.

Matching Summary

Match Score: 85

Naturactive, part of the Pierre Fabre Group, is seeking a Project Data & IT Intern to support its operational teams in implementing multifaceted projects within the Commercial Supply Chain. The role involves data governance, analysis, and the development of interactive dashboards, contributing to the significant transformation project known as ARGAN.

Salary

Attractive gratification; Weekly remote work allowed after 1 month; Product discounts provided

Skills & Requirements

Must-have

  • Student in 4th or 5th year of engineering or business school
  • Specialization in Data Science, Computer Science, or Statistics
  • Experience with data analysis and treatment tools

Nice-to-have

  • Preliminary experience in logistics or data domains
  • Proficiency in Tableau, Power BI, or Alteryx
  • Knowledge of programming languages and machine learning
  • B2 level English proficiency
  • Curiosity about supply chain métiers

Key Requirements

  • Enrolled in 4th or 5th year of engineering or business school
  • Specialization in Data Science, IT, or Statistics
  • English level B2 preferred

Work Rights

Not specified

Tailored Resume

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