Business Intelligence Engineer, Amazon Shipping BI

Amazons global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations Amazon warehouses and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages each with different attributes and delivery requirements what results is a highly dense graph of nodes. We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows optimization algorithms and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network. As a Business Intelligence Engineer you will develop datasets dashboards reports and visualizations using BI tools and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally you will deliver across planned projects that will improve overall cost and profitability for the business.

Key job responsibilities
Data Management and Integration: Collect process and manage large datasets from various sources ensuring data accuracy consistency and accessibility. Data Analysis: Analyze complex data sets to identify trends patterns and insights that can inform business decisions. Reporting and Visualization: Develop and maintain dashboards reports and visualizations to present data insights in an understandable and actionable format. Stakeholder Collaboration: Work closely with stakeholders to understand their data needs provide data-driven recommendations and support strategic planning. Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 1 years of SQL ETL or Oracle experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at WA Bellevue - 99500.00 - 160000.00 USD annually