Supply Chain Analyst, EU STEP Inbound and Inventory Placement Operations (IIPO)
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Key details
- Location
- London, United Kingdom
- Work style
- Onsite
- Job type
- Full-time
- Function
- Logistics & Transportation
- Focus area
- other
- Posted
- 1w ago
Skills
data analysisdata sciencesqlsupply chaintableau
About the role
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 London.
- Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight
- Experience using SQL
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Basic qualifications
- 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, Quick-sight
- Experience using SQL
Preferred qualifications
- 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 settingsAmazon 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.