Business Intelligence Engineer, Forecasting & Labs Analytics

Amazon has the world's most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand Forecasting: We forecast the demand of tens of millions of products. These forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for hundreds of warehouses. We need a creative, smart and enthusiastic Business Intelligence Engineer. Your mission will be to improve forecast accuracy and enable partner teams and customers to optimize supply chain decisions. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission - support from partner teams like Data Engineering/Data Science/Program, rich datasets and tools like AWS Redshift and Tableau. Key job responsibilities Analytics & Insights- Lead projects using data modeling, and statistical analysis best practices to create reporting and give insight to the forecast against large, multi-dimensional datasets from multiple sources- Direct the design and implementation of analytics solutions for new product initiatives- Ensure quality and consistency of analytical outputs across team deliverables- Build tools to analyze large amounts of data that uncover forecasting issues and convey insights which highlight forecast performance and explain variance- Oversee the development and maintenance of recurring reporting frameworks Product Development Support- Partner with product, science, and engineering teams throughout the development lifecycle to define success metrics and measurement approaches- Guide analytics strategy during project entitlement phases Business Partnership- Translate complex analytical findings into actionable business recommendations- Build and maintain relationships with cross-functional stakeholders