At Amazon, we are committed to being the most customer-centric company on earth. The North American Transportation Services (NATS) team at Amazon is comprised of high-powered dynamic teams that are shaping network planning and execution through the development and application of innovative transportation and delivery management concepts.

NATS Transportation Planning team is looking for a customer-focused, detail-oriented, experienced Business Intelligence Engineer to provide recommendations on how to improve customer delivery performance, leveraging a toolkit of numerical methods and modeling. As a BIE, you will be responsible for defining and executing reports to drive operational excellence, exceed our customers’ expectations and achieve performance goals. In partnership with Program Managers, BIEs will expose gaps in our supply chain that leave us vulnerable to customer facing defects.

Additionally you will provide insights into operational issues, analyze the root cause and provide recommendations for improvements. Role will require data analysis, understanding of the systems workflow, cross-functional communication and issues management. The role is responsible for effectively communicating with senior management as well as with colleagues from operations and business backgrounds.

This role is inherently cross-functional—this leader will work closely with data scientists, software engineers, program management, design, operations, finance, legal, business development, customer service, and executive teams to create dashboards and bring products to production across the different Amazon transportation teams. A successful candidate will be highly analytical, resourceful, customer-focused, team oriented, and will have an ability to work autonomously under time constraints to meet deadlines. The leader will have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. Come join the team and help us make history!

- 4+ 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 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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.