Supply Chain Data Analyst - Inbound & Inventory

Amazon Inc.

City of Westminster

Vor Ort

GBP 50.000 - 75.000

Vollzeit

Vor 6 Tagen
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Zusammenfassung

Amazon London is seeking a data analytics driven professional to join the EU STEP Inbound and Inventory Placement Operations (IIPO) team. You will analyze data to generate insights, collaborate with planning, operations, and technical teams, and help simplify the supply chain for speed and cost reductions.

Based out of London, this role focuses on understanding complex systems, delivering scalable recommendations, and supporting inventory placement processes with rigorous data-driven approaches.

Qualifikationen

  • Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field.
  • Knowledge of data analytics with tools such as Tableau, SQL, QuickSight.
  • Experience using SQL, Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields, or experience using AI-assisted development tools in academic or professional settings.

Aufgaben

  • Collaborate with planning, operations, and technical teams to analyze data and generate insights at scale.
  • Analyze inventory placement processes to identify opportunities for faster, cheaper delivery.
  • Provide data-driven recommendations to simplify the supply chain network and reduce costs.

Ausbildung

Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field

Tools

Tableau
SQL
QuickSight

Jobbeschreibung

Amazon London is seeking a data analytics driven professional to join the EU STEP Inbound and Inventory Placement Operations (IIPO) team. You will analyze data to generate insights, collaborate with planning, operations, and technical teams, and help simplify the supply chain for speed and cost reductions.

Based out of London, this role focuses on understanding complex systems, delivering scalable recommendations, and supporting inventory placement processes with rigorous data-driven approaches.

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