Description The Supply Chain Optimization Technologies (SCOT) Buying team is at the heart of Amazon's global inventory management. We build sophisticated automated systems that decide what to buy, when to buy it, and where to place billions of dollars in inventory across Amazon's vast network. These decisions directly impact Amazon's ability to delight customers and drive operational efficiency. Join us to solve complex technical challenges at massive scale, shaping the core of Amazon's retail business through data-driven decisions. As a Senior Business Intelligence Engineer in SCOT Buying Analytics, you will lead complex data initiatives across Amazon's diverse buying programs, including Just in Time, Advanced Purchasing, and Global Ordering. You'll architect scalable solutions that provide crucial insights into Access to Supply metrics, driving key decisions in buying and sourcing strategies. This role requires exceptional technical expertise to handle massive datasets while consolidating historically siloed data architectures. You'll collaborate with SCOT and Retail leadership, translating complex analyses into actionable insights that influence product availability strategies. As a technical leader, you'll mentor team members and establish best practices for data architecture and analytics approaches. Key job responsibilities * Design and implement scalable data solutions that integrate complex data across multiple buying programs * Collaborate with Product Managers, Software Engineers, and Data Scientists to build critical business metrics, automated self service analytical dashboards and reporting * Drive technical standards and best practices for the team's data architecture and analytics approaches * Analyze relevant business data, uncover trends and correlations, and translate insights into clear recommendations * Architect and maintain critical Access to Supply metrics, defect attributions, and deep-dive analyses * Mentor and provide technical guidance to other team members on complex projects * Partner with leadership to translate ambiguous business problems into clear data requirements * Champion data quality and efficient processing methods for high-volume data pipelines A day in the life You might start your day working with a teammate to optimize a complex SQL query, then you would work with Product Managers to dive deep into data to explain trends in a critical metric. Later, you could lead a technical design review for a new cross-program metrics framework or you could present supply chain insights related to a strategic business decision to senior leadership, followed by collaborating with retail partners to define requirements for a new self-service dashboard. About the team You'll join a dynamic team of Business Intelligence Engineers within SCOT Buying Analytics, focusing on data-driven decisions that impact Amazon's global supply chain. Our team recently consolidated to bring together analytics across multiple buying programs, creating exciting opportunities to reshape our data architecture. We're passionate about making data accessible and actionable, whether it's through self-service tools or deep-dive analyses. We value collaboration, innovation, and the ability to translate complex technical concepts into business impact. Basic Qualifications - 5+ years of SQL experience - 5+ years of professional or military experience - Experience with AWS technologies - Experience programming to extract, transform and clean large (multi-TB) data sets - 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 with theory and practice of design of experiments and statistical analysis of results - Experience with data visualization using Tableau, Quicksight, or similar tools Preferred Qualifications - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - Knowledge of data warehousing and data modeling 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.