About this role
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 technical challenges at massive scale, shaping the core of Amazon's retail business through data-driven decisions. As a Business Intelligence Engineer I in SCOT Buying Analytics, you will build data solutions across Amazon's diverse buying programs, including Just in Time, Advanced Purchasing, and Global Ordering. You'll create queries, reports, dashboards, and analyses that provide insights into Access to Supply metrics, supporting key decisions in buying and sourcing strategies. This role requires technical skills to work with large datasets and the ability to learn and apply best practices in data management and analytics. You'll collaborate with Product Managers, Software Engineers, Data Scientists, and other Business Intelligence Engineers to deliver solutions that answer business questions. You'll work on well-defined problems with guidance from team members, building your expertise in Amazon's data infrastructure and business processes. Key job responsibilities - Build BI solutions including data sets, queries, reports, dashboards, and analyses to answer business questions - Collaborate with Product Managers, Software Engineers, Data Scientists, and other BIEs to understand requirements and deliver data solutions - Analyze relevant business data, identify trends, and communicate findings to stakeholders - Build and maintain data structures, ETL processes, and reports that correctly answer business questions using SQL and analytics visualization tools such as QuickSight - Investigate data anomalies, troubleshoot issues in reports and data pipelines, and automate manual processes where possible to improve efficiency - Document solutions clearly to ensure ease of use, interpretation, and maintainability by others, and seek input and guidance from team members on both technical approaches and business understanding A day in the life You might start your day working with a senior team member to learn how to optimize a SQL query for better performance. You would then build a report or dashboard that answers a specific business question about inventory availability. Later, you could participate in a team meeting to scope requirements for a new analysis project or investigate a data quality issue in an existing report. You might also spend time documenting your work, attending a training session on AWS technologies, or collaborating with a Product Manager to understand the business context behind a new metric request. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team You'll join a dynamic team of BIEs and DEs 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.