AI-Driven Process Improvement Intern

Amazon Inc.

Roma

In loco

EUR 15.000 - 20.000

Tempo pieno

9 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Amazon is seeking a Process Improvement Specialist Intern for 2027, based at the DLZ1 Delivery Station in Roma. You will apply AI and data analytics to drive improvements in a fast-paced logistics environment, collaborating with station management to identify and solve process issues.

Ideal candidates are penultimate or final year students in business/supply chain/economics, fluent in English (C1+), and proficient in Excel with strong data analysis and stakeholder communication skills.

Competenze

  • Fluent English (C1) or higher.
  • Penultimate or final year student in business, supply chain, transportation, economics or similar.
  • Advanced Microsoft Excel skills (formulas, pivot tables, macros).
  • Ability to communicate with a wide range of stakeholders, including leadership.
  • Eligible for a full-time internship lasting 3 to 6 months.

Mansioni

  • Plan and implement continuous improvement initiatives to innovate the driver experience and efficiency.
  • Use AI tools and data analytics to identify inefficiencies, automation, and prototype solutions.
  • Analyze feedback and data to own and implement site process improvements.
  • Collaborate with station management and stakeholders to identify and solve issues.
  • Audit processes for compliance and support decisions with analytics.

Conoscenze

English fluency (C1+)
Data analysis
Excel skills
Stakeholder communication
Analytical mindset

Formazione

Penultimate or final year university degree in business/supply chain/transportation/economics

Strumenti

Minitab
JMP
MS Excel
MS Access

Descrizione del lavoro

Amazon is seeking a Process Improvement Specialist Intern for 2027, based at the DLZ1 Delivery Station in Roma. You will apply AI and data analytics to drive improvements in a fast-paced logistics environment, collaborating with station management to identify and solve process issues.

Ideal candidates are penultimate or final year students in business/supply chain/economics, fluent in English (C1+), and proficient in Excel with strong data analysis and stakeholder communication skills.

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