BusinessIntelligenceEngineer,NorthAmericaTransportation

Amazon delivers billions of packages each year through one of the world's most complex transportation networks. As a Business Intelligence Engineer on our North America transportation analytics team, you will build the dashboards, data pipelines, and curated datasets that help operators and planners move packages faster, more accurately, and at lower cost — from fulfillment centers through middle mile hubs to customers' doors. You will own analytics solutions end-to-end: partnering with business teams to define the right questions, engineering the data infrastructure to answer them, and delivering insights that drive real operational decisions. You will also build purpose-built datasets that power machine learning models for demand forecasting, route optimization, and capacity planning — giving you direct exposure to applied AI in a production logistics environment. Key job responsibilities - Own the development and maintenance of dashboards, reports, and visualizations that surface critical transportation metrics — including capacity constraints, route performance, forecast accuracy, and operational bottlenecks — to stakeholders across the transportation network - Collaborate with cross-functional business teams spanning network design, planning, delivery operations, and linehaul to translate operational questions into analytical frameworks and deliver actionable insights - Design, build, and deploy data pipelines, data models, and SQL-based transformations to support analytical and reporting needs; monitor pipeline health proactively and resolve data quality issues to ensure reliable, timely data delivery - Develop and maintain curated, well-documented datasets purpose-built for AI and machine learning models supporting demand forecasting, route optimization, and capacity planning — ensuring standards for completeness, accuracy, freshness, schema consistency, and lineage tracking - Maintain clear documentation of data sources, business logic, transformation rules,