Business Intelligence Engineer, Amazon Leo Europe Consumer

Amazon Leo is launching a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. The Amazon Leo Europe Consumer team is looking for a talented individual to lead business intelligence that will support key decisions for consumer business development. This role is responsible for analyzing large sets of data and building pipeline for automated dashboards and reporting.

A successful candidate will be independent, comfortable with ambiguity, and adept at dealing with large volumes of data including geo-spatial data. We are looking for someone who has built end-to-end analytical workflows, has experience in data visualization, and is obsessed with driving insights on statistically sound data. This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).

Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations. Key

Analyze large data sets to identify patterns, understand drivers, and generate insights for demand, retention, service plan mix, and seasonality models

• Write queries to extract data and insights combining datasets within Amazon Leo with publicly available datasets
• Design, build, and maintain automated reporting, dashboards, and recurrent analysis in support of data driven decisions across business operations
• Identify opportunities for automation to accelerate insight generation
• Analyze and create visualization of large geo-spatial data to drive subscriber growth strategies
• Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets
• Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience working directly with business stakeholders to translate between data and business needs
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with data modelling, warehousing and building data pipelines
• Experience in working with geo-spatial data 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.