Job Information
Amazon Business Intelligence Engineer II, Global Transportation Services - Network Design, Planning, & Engineering (NDPE) in Bellevue, Washington
Description
Join Amazon's Global Transportation Services team as a Business Intelligence Engineer II and play a pivotal role in shaping the future of our delivery network. You'll leverage your analytical expertise to optimize sortation and containerization strategies, influencing facility design and automation. This high-impact position offers the opportunity to drive data-driven decisions that enhance Amazon's transportation efficiency on a global scale.
Key job responsibilities
Develop and maintain dashboards using tools like Tableau or Quicksight to visualize complex transportation data
Conduct in-depth statistical analyses using R, SAS, or Matlab to inform network design strategies
Create and optimize ETL pipelines to ensure data accuracy and accessibility
Collaborate with cross-functional teams to translate business needs into actionable insights
Automate processes to improve efficiency and scalability of data-driven decision making
A day in the life
As a Business Intelligence Engineer II, you'll start your day reviewing key performance metrics and updating dashboards for stakeholders. You might then dive into a project analyzing sortation patterns to identify optimization opportunities. After lunch, you could find yourself collaborating with the facility design team, using your insights to inform future automation strategies. Your day might conclude with a cross-functional meeting where you present your findings and recommendations for improving network efficiency.
About the team
Our Global Transportation Services team is dedicated to revolutionizing Amazon's delivery network through data-driven innovation. We focus on end-to-end sortation and containerization strategies, constantly pushing the boundaries of what's possible in logistics. Our vision is to create the most efficient, sustainable, and customer-centric delivery network in the world. We value curiosity, analytical thinking, and a passion for solving complex problems.
Basic Qualifications
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 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
Preferred Qualifications
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.