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Open nowPosted 3 days ago

Process Improvement Specialist, EU STEP Inbound and Inventory Placement Operations (IIPO)

Amazon / AWS21,530 open roles

Where
Luxembourg, LUX
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Your applicationOpen nowProcess Improvement Specialist, EU STEP Inbound and Inventory Placement Operations (IIPO)Amazon / AWS · Luxembourg, LUX

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Amazon / AWS postings stay open a median of 15 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 3 days ago

Amazon / AWS median: 15 days open

The posting

Have you ever wondered how Amazon delivers so quickly, or if delivery speeds could improve even further? In the Amazon EU STEP Inbound and Inventory Placement Operations (IIPO) team, we drive innovation for our customers to enhance product availability and speed while reducing costs and carbon emissions. This role will give an unique view into Amazon Inventory Placement systems, processes, and operations, enabling collaboration with planning, operations, and technical teams. Among others, you will have the opportunity to simplify our supply chain network to deliver faster and cheaper. If you excel at understanding complex systems and have a proven track record of analyzing data to generate insights and business recommendations at scale, we'd like to talk to you.

This position is based out of our EU Headquarters in Luxembourg.

- Bachelor's degree or equivalent work experience in Business, Engineering, Supply Chain, Transportation, Mathematics, Economics, Physics or another technical field - Speak, write, and read fluently in English - Experience using data and metrics to back up assumptions, evaluate outcomes, and make data-driven decisions - Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight - 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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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