Supply Chain Analytics & Process Improvement Intern

ASML US, LP. (US30)

Hillsboro (OR)

Vor Ort

USD 28.000 - 39.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

ASML US invites students pursuing a Bachelor's or Master's degree to join the CSCM UIR team in Hillsboro, OR for a summer internship focused on supply chain improvement, material availability, planning, and process effectiveness.

You will analyze data, identify gaps, and work with cross-functional partners to develop actionable recommendations, then present findings to the team at the end of the internship.

Qualifikationen

  • Pursuing a Bachelor's or Master's degree in a related field such as Supply Chain Management, Industrial Engineering, Operations Management, Business Analytics, Logistics.
  • Interest in supply chain, material planning, data analysis, and process improvement.
  • Experience using Microsoft Excel to organize and analyze data.
  • Strong analytical and problem-solving skills with ability to translate data into practical recommendations.
  • Good written and verbal communication and ability to work with cross-functional teams.

Aufgaben

  • Analyse supply chain data and current processes to identify gaps and improvement opportunities.
  • Work with cross-functional stakeholders to develop practical recommendations.
  • Translate findings into clear recommendations and present outcomes to the CSCM team.
  • Document findings and present an end-of-summer presentation summarizing achievements.

Kenntnisse

Excel
Data analysis
Process improvement
Cross-functional teamwork
AI tools
Microsoft Copilot

Ausbildung

Bachelor's or Master's in related field

Tools

Power BI

Jobbeschreibung

ASML US invites students pursuing a Bachelor's or Master's degree to join the CSCM UIR team in Hillsboro, OR for a summer internship focused on supply chain improvement, material availability, planning, and process effectiveness.

You will analyze data, identify gaps, and work with cross-functional partners to develop actionable recommendations, then present findings to the team at the end of the internship.

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