Amazon's Sales & Operations Planning (S&OP) team is seeking a Business Intelligence Engineer to join their Analytics team. This role combines data engineering, business intelligence, and data science to optimize supply chain operations. The position sits within the S&OP Automation & Analytics team, which focuses on improving end-to-end customer fulfillment processes through automated planning tools and prediction models.
The ideal candidate will be passionate about using data to solve complex supply chain problems and develop world-class business intelligence solutions. Key responsibilities include analyzing large datasets, developing business intelligence solutions, and applying data science techniques to improve forecast accuracy and supply chain optimization.
The role requires strong technical skills in SQL, data visualization tools like Tableau, and programming languages such as Python or Java. You'll work with various teams across Amazon, transforming business problems into data-driven solutions. The position offers exposure to cutting-edge supply chain optimization challenges and the opportunity to impact key strategic decisions.
Amazon offers a competitive compensation package including base pay ranging from $74,100 to $165,600 depending on location, plus equity and other benefits. The role is available in multiple locations including Tempe, Austin, and Bellevue, offering flexibility in terms of work location.
This is an excellent opportunity for a data professional who enjoys working in a fast-paced environment, dealing with complexity, and using data to drive business decisions. The role combines technical expertise with business acumen, making it ideal for someone who wants to make a significant impact on Amazon's supply chain operations.