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Tue Jun 10 2025
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Senior Business Intelligence Engineer , Long-term planning

Amazon

Luxembourg On-site, Hybrid

English

Employment Type: Full-time
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Job Description

Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.

You will be responsible for driving the long-term technical roadmap of Consolidation, also referred to as Units per Box (UPB). Our vision to offer a best-in-class shopping experience which meets customer needs for receiving items together in one convenient delivery. The role requires a deep understanding of customer needs and thinking big about how we can make the customer experience seamless and delightful.

As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of consolidation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources.

Key job responsibilities

  • Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
  • Develop relationships with internal and external partner teams to enrich our collection of data.
  • Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
  • Analyze historical data to identify trends and support decision making.
  • Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
  • Improve upon existing methodologies by developing new data sources or architecture enhancements.
  • Actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
  • Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
  • Collaborate with multiple teams and have cross-team impact.
  • Research and benchmark our technology against other competing software in the industry.
  • Actively mentor junior BIE colleagues on trends, technologies, and best practices.

About The Team
Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion.

We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.

Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms.

Basic Qualifications

  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience with SQL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience in the data/BI space

Preferred Qualifications

  • Experience managing, analyzing and communicating results to senior leadership

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.


Company - Amazon EU Sarl
Job ID: A2909468

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🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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