Business Intel Engineer II, EU Step Fulfillment Optimization Job ID: 10447581 | Amazon EU Sarl Description Have you ever ordered a product on Amazon and when that box-with-the-smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer's doorsteps? If so, EU Fulfillment Optimization (EU-FO) team is for you. We are tasked with optimizing the fulfillment on customer orders so that we fulfill all orders in the most intelligent manner while ensuring Amazon customers get their orders on time. You are a data detective that wants to apply their analytical skills to own and drive real world business problems that impact customers. Key job responsibilities Deliver solutions to support our business and operations Collect and analyze data to drive decisions and provide business insights Design, implement and support a scalable and reliable infrastructure for Data Warehousing, BI and Analysis Work closely with cross functional teams both in business and tech Use analytic tools and languages, and present analytical results and insights using multiple methods, including written summaries and visualization/reporting tools such as Quicksight About the team The EU Fulfillment Optimization team is the backbone of Amazon's European operations. We're responsible for ensuring that our complex logistics network runs smoothly, especially during our most challenging high-volume events. Our team thrives on data-driven decision making and developing technology that optimizes the flow of packages through the network. We're constantly pushing the boundaries of what's possible in logistics, always with an eye on efficiency, customer satisfaction, and sustainability. Key job responsibilities
- Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
- Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
- Proactively and continually, improve your level of knowledge about Amazon's business and relevant data resources
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Write high quality code to retrieve and analyze data
- Analyze and solve business problems at their root, stepping back to understand the broader context
- Design pragmatic analyses and automated metrics that add value to your business area
- Understand data resources and how, when, and what to use (and what not to use).
- Develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake A day in the life Inclusive Team Culture Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day. Mentorship & Career Growth We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it." About the team The EU STEP Fulfillment Optimization team is the backbone of Amazon's European operations. We're responsible for ensuring that our complex logistics network runs smoothly, especially during our most challenging high-volume events. Our team thrives on data-driven decision making and developing technology that optimizes the flow of packages through the network. We're constantly pushing the boundaries of what's possible in logistics, always with an eye on efficiency, customer satisfaction, and sustainability. Basic Qualifications - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with SQL - Experience in the data/BI space Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex 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.
