Business Intelligence Engineer (m/f)

About the role

Business Intelligence Engineer Job ID: 10535827 | Amazon EU Sarl Description The challenges that business intelligence engineers solve at Amazon are significant and affect millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about the people who join us on this adventure. There is a certain type of person who occupies this role at Amazon - someone who is excited about the idea of creating new products, features, and services from scratch while managing the ambiguity and pace of a company whose delivery cycles are measured in weeks, not years. How many times can you say that your work changes the world? At Amazon, you will say it often. Join us and define tomorrow. At Amazon, we hire the best minds in technology to innovate on behalf of our customers. Our focus on our customers is the reason we are one of the most loved brands in the world - customer obsession is part of our company DNA. Key Responsibilities • Develop analytical solutions to business problems that use the highest standards of analytical rigor and data integrity • 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 the 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 good of the business, not for the sake of the analyses • Seek to understand the business goals relevant to your area, align your work with those goals, and seek to provide business value • Proactively and continuously improve your level of knowledge about Amazon's business and relevant data resources A Typical Day Work-Life Balance Our team places great importance on work-life balance. It is not about the number of hours you spend at home or at work; it is about the flow you establish that brings energy to both parts of your life. We believe it is essential to find the right balance between your personal and professional life to achieve happiness and fulfillment throughout life. Inclusive Team Culture Our team strives to attract, develop, and retain incredible talent from diverse backgrounds. Yes, we are lucky to build a really cool service, but we also believe that a big reason for this is the inclusive and welcoming culture we try to cultivate every day. Mentorship and Career Growth We care about your career growth. Whether your goals are to explore new design concepts, seize bigger opportunities, or reach the next level, we will help you get there. Our company is growing fast and our people will grow with it. Basic Qualifications - Experience in data analysis and interpretation with Redshift, Oracle, NoSQL, etc. - Experience in data visualization with Tableau, Quicksight, or similar tools - Experience with one or more industry analytical visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-square) - Experience with a scripting language (e.g., Python, Java, or R) - Experience with SQL - Experience in the data/BI field Preferred Qualifications - Master's degree or higher technical degree - Knowledge of data modeling and data pipeline design - Experience in statistical analysis, correlation analysis Amazon is an equal opportunity employer. We passionately believe that employing a diverse workforce is essential to our success. We make our hiring 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 long-standing top priority for Amazon. Please see our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to learn more about how we collect, use, and transfer our applicants' personal data. Our inclusive culture allows Amazonians to achieve the best results for our customers. If you have a disability and need an accommodation or adjustment in the workplace during the application and hiring process, including assistance for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region where you are applying is not listed, please contact your recruiting partner. Compensation: to be negotiated.