Amazon

Business Analyst, EU STEP Inbound and Inventory Placement Operations (IIPO)

Amazon · Luxembourg, Luxembourg

Software Development · 10,001+ employees

13 h ago
Mid (2-5 yrs) Full-time Luxembourg
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About the role

The role focuses on driving innovation within the EU STEP Inbound and Inventory Placement Operations to enhance product availability and speed. The analyst will collaborate with technical and operational teams to simplify the supply chain network and reduce costs.

What they look for

SQL ETL Data Analysis Business Insights Data Visualization Quick Sight Tableau Power BI Requirements Definition Supply Chain Optimization

Requirements

Candidates must have a bachelor's degree and experience using SQL or ETL to derive business insights from data. Proficiency in BI tools like Tableau or Power BI and experience with large datasets are preferred.

Full description

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.

Basic Qualifications: - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL

Preferred Qualifications: - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages - Experience using very large datasets

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.