Description 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 EU AMXL Network Planning. You will identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources. As part of your responsibilities, you will help the design and implementation of state-of-the-art solution in long and mid-term network planning. 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. • Lead and actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies. • Collaborate with multiple teams and have cross-team impact. • Research and benchmark our technology against other competing software in the industry. About the team Amazon Extra Large (AMXL) looks after heavy items like furniture and large home appliances. Our team manages the entire service, from supply chain fulfilment to delivery and returns. What sets this service apart from others is the extra level of customer care. Not only do we deliver large items, but we unpack, assemble and install them, and take away old items where needed. With a focus on safety, productivity and innovation, we’re changing the way customers buy and receive large goods for the better. We have ambitious plans to expand our specialist fulfilment centres and delivery stations across the UK and Europe. While those of us who work in delivery stations will do some night shifts, most of us work during the day. Our team is made up of people across operations, supply chain, business intelligence and programme management, and everyone plays a crucial role in growing this part of the business. Basic Qualifications - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 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 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.