Business Intelligence Engineer, EU STEP FO (m/f)

Business Intelligence Engineer, EU STEP FOJob ID: 10579620 | Amazon EU SarlDescriptionHave 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.Key job responsibilitiesDeliver solutions to support our business and operationsCollect and analyze data to drive decisions and provide business insightsDesign, implement and support a scalable and reliable infrastructure for Data Warehousing, BI and AnalysisWork closely with cross functional teams both in business and techUse analytic tools and languages, and present analytical results and insights using multiple methods, including written summaries and visualization/reporting tools such as Quicksight 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• 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 lifeInclusive Team CultureOur 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...

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