Business Intelligence Engineer, Ship With Amazon (Swa)
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| Business Intelligence Engineer, Ship With Amazon (SWA)Job ID: **** | Amazon EU SARL (Spain Branch)Key job responsibilitiesDevelop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrityRecognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationWrite high quality code to retrieve and analyze dataAnalyze and solve business problems at their root, stepping back to understand the broader contextDesign pragmatic analyses and automated metrics that add value to your business areaUnderstand 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’ sakeSeek to understand the business objectives relevant to your area, align your work to those objectives, and deliver business valueProactively and continually improve your level of knowledge about Amazon’s business and relevant data resourcesA day in the lifeAnalysis of business requirements and translation into technical requirements, supported by senior colleagues, integration into a working, stable and scalable systemIndependent realization of requirements for Business Intelligence and custom software development productsCreation of test cases and guidance of business stakeholders within the testing processPresentation of solutions and implemented features within weekly sync up with business stakeholdersOwnership of maintenance and error handling of deployed solutions1-2 main projects in parallel, focusing on project deliveryAbout the teamAs part of EU Supply Chain Execution’s Data and Analytics team, we support the SWA vertical across all miles (First Mile, Middle Mile, and Last Mile) and end?to?end alignment teams.We support a wide variety of products ranging from automations, perfectmile reporting including logic creations, and traditional BI reporting (mainly QuickSight).Our team members are spread across London, Luxembourg, Munich and Barcelona.Basic QualificationsExperience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.Experience with data visualization using Tableau, QuickSight, or similar toolsExperience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t?test, Chi?squared)Experience with scripting languages (e.g., Python, Java, or R)Experience with SQLExperience in the data/BI spacePreferred QualificationsMaster’s degree, or advanced technical degreeKnowledge of data modeling and data pipeline designExperience with statistical analysis, correlation analysisAmazon 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.Protecting your privacy and the security of your data is a longstanding top priority for Amazon.Please consult our Privacy Notice () 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 for more information.If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr |
Requirements
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization using Tableau, QuickSight, or similar tools Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t?test, Chi?squared) Experience with scripting languages (e.g., Python, Java, or R) Experience with SQL Experience in the data/BI space Preferred Qualifications Master’s degree, or advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, correlation analysis
About the company
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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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