Description The Amazon North American Transportation Services (NATS) team is seeking a Senior Business Intelligence Engineer (BIE) with exceptional analytical, technical, and communication skills. NATS—informally known as "Outbound"—is responsible for managing the connectivity and flow across Amazon’s transportation network. This is a high-impact role that partners closely with Supply Chain Managers, Data Engineers, Program Managers, Data Scientists, and senior leaders to tackle complex business challenges. The ideal candidate is a self-starter who thrives in ambiguity, is comfortable working with large and complex datasets, and brings a strong sense of ownership to their work. We’re looking for someone who is equally passionate about diving deep into data and elevating decision-making across the organization through high-quality insights and scalable solutions. Key job responsibilities * Lead cross-functional business intelligence strategies, including defining roadmaps, setting timelines, and delivering results. * Partner with product, science, engineering, and business teams to shape long-term solutions for data visualization and explainability. * Own end-to-end data support for new initiatives and business-critical processes, using insights to drive continuous improvement and growth. * Design, develop, and maintain scalable infrastructure, pipelines, and reporting tools to enable long-term strategic analysis. * Simplify and re-architect existing data solutions to meet the evolving scope and scale of the business. * Integrate data across domains—including supply, demand, sales, operations, and customer behavior—to generate a holistic view of the business. A day in the life You will coordinate across product, science, and engineering teams to drive technical execution for planning, control, and forecasting systems that power Amazon’s outbound transportation network. You’ll be expected to influence strategy, drive operational improvements, and unlock new opportunities through data. Basic Qualifications - 6+ years of professional or military experience - 6+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - 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 Preferred Qualifications - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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. 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.