Amazon Freight is building a disruptive transportation product with the vision of redefining shipping for its customers. The goal is to develop easy-to-use, reliable and transparent transportation services that raise the customer experience bar relative to all existing shipping alternatives. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.

We are building an exciting new business in this space and seeking a Business Analyst to support data analytics for Amazon Freight’s Less-Than-Truckload (LTL) business. This position requires high judgment, excellent analytical skills and a creative mind to invent solutions that improve the customer experience. It offers broad exposure to various business, operational, financial, product and technical teams across Amazon Freight.

Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.

Key job responsibilities
· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance
· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models
· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation