Paris-Based Data-Driven Supply Chain Scientist Intern

LOKAD

Paris

Sur place

EUR 8 928 - 13 392

Plein temps

14 jours+
Générateur de candidature

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

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Résumé du poste

A data-driven technology company in Paris is offering a long-term internship for a Business Analyst. This position involves data analysis, customer relations, and tackling complex supply chain issues. Ideal candidates should have a strong engineering background, interest in data analysis, and proficiency in both English and French. The role emphasizes learning and developing quantitative strategies to help clients effectively utilize the technology. Training and mentoring will be provided to advance skills in supply chain management.

Qualifications

  • A solid engineering background.
  • Strong interest in data and quantitative analysis.
  • Good Excel skills or familiarity with programming languages.
  • Very good command of English and French.
  • Ability to quickly assess and grasp new situations.
  • Motivated with a 'hands on' attitude.

Responsabilités

  • Ensure customers maximize the use of technology.
  • Tackle complex supply chain issues.
  • Develop quantitative strategies based on data.
  • Interact with customers to understand their business.

Connaissances

Strong interest in data and quantitative analysis
Good Excel skills
Familiarity with programming languages
Very good command of English and French
Learning agility regarding technology and business concepts
Motivated, self-confident with a 'hands on' attitude

Formation

Graduate from Grandes Ecoles

Description du poste

A data-driven technology company in Paris is offering a long-term internship for a Business Analyst. This position involves data analysis, customer relations, and tackling complex supply chain issues. Ideal candidates should have a strong engineering background, interest in data analysis, and proficiency in both English and French. The role emphasizes learning and developing quantitative strategies to help clients effectively utilize the technology. Training and mentoring will be provided to advance skills in supply chain management.
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