Are you excited about how information insights can bring value to our transportation team. We are looking for a self-driven insightful results-oriented to join the North America Transportation team. Our team mission is to drive improvements to customer experience performance and cost across Amazons transportation systems from initial delivery promise to final delivery to our customers. This is a tremendous opportunity for Engineers who want to develop creative new and innovative ways of interacting with and interpreting key performance indicators and shape the future of Amazon Transportation systems.
Key job responsibilities - Create support improve and deep dive transportation metrics to provide actionable insights related to delivery cost and customer experience. This will require gathering and analysis partnering with external teams synthesis and problem solving and communication of insights and recommendations. - Develop scalable and self-serve analytical and solutions to identify anomalies and support team projects. This will involve creating and maintaining reports and dashboards using tools such as Redshift/S3 QuickSight Shiny R and Amazon Metrics etc. - Perform ad hoc deep dives to understand drivers for transportation issues and opportunities as well as support North American and Global transportation teams with special projects. - Work with program owners to build sets reports dashboards and other products that answer their specific questions. - Collaborate with engineers/scientists and other engineers to architecture and implement pipelines to automate manual solutions. - Develop a deep understanding of Amazons supply chain and transportations vast sources and tools.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience - Experience with data visualization using Tableau Quicksight or similar tools - Experience with data modeling warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift - Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets - Experience or knowledge in building LLMs GenAI analytical solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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