Senior Business Intelligence Engineer

Description Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Role Overview As a Senior Business Intelligence Engineer (BIE), you will architect and deliver best-in-class analytics solutions that drive data-informed decisions to streamline production of Leo's satellite technology. You will set new standards for creating scalable, efficient, and automated processes for large-scale data analysis while maintaining a high bar for engineering excellence. As a Senior BIE within Leo ProdOps, you will demonstrate technical leadership by transforming complex challenges into clear, actionable insights. You are a customer-obsessed problem-solver who builds strong partnerships across Leo's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, and finance teams. Your ability to invent and simplify will be key to solving technical challenges. You will use your communication skills to articulate complex data concepts, manage expectations, and drive consensus across diverse technical and non-technical stakeholders. You will raise the bar by mentoring other BIEs and contributing to the team's technical vision and strategy. Key job responsibilities Partner with cross-functional and cross-organizational teams to understand business challenges and deliver data-driven solutions that enable better decision making Develop key metrics and performance indicators that drive continuous improvement across Leo's operations Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity Build self-service reporting solutions that scale across the organization Write complex SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs Build and maintain robust data infrastructure in collaboration with BIEs/DEs, ensuring data quality, availability, and scalability Effectively communicate complex analytical insights to diverse stakeholders through clear documentation and presentations Lead technical initiatives and mentor team members, promoting analytics best practices across the organization Stay current with AI/ML advancements (especially around LLMs and GenAI) and evangelize new technologies within the BIE and analytics community A day in the life This role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging, novel business problems every day and have the opportunity to work with multiple technical teams of Leo. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people. About the team The Operations Analytics Team (OAT) was established to develop end-to-end analytics products across Leo Production Operations. That includes both tools and insights for ProdOps leadership and functional teams. OAT products are leveraged as the single-source-of-truth for insights and metrics that production teams rely on to drive performance. OAT works in parallel with the Leo Production PMO to coordinate actions and release analytics products across all Leo teams. Basic Qualifications 7+ years of SQL experience Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with AWS technologies 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 theory and practice of information retrieval, data science, machine learning and data mining 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications Master's degree in statistics, data science, or an equivalent quantitative field Experience managing, analyzing and communicating results to senior leadership Experience working directly with business stakeholders to translate between data and business needs 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr