Business Intelligence Engineer, North America Transportation Services

Amazon • Nashville, TN

4d • $78,200 - $144,000 • Onsite

About The Position

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.

Requirements

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

Nice To Haves

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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, and dataset schemas; identify and implement automation opportunities to reduce manual data processing tasks

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level