Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI

R2L (Rural and Rapid Logistics) is looking for a BIE II to drive AI-powered analytics and decision systems at scale. They will build and produce intelligent data products that combine ML/agentic capabilities with robust BI to influence real-time operational decisions.

Key job responsibilities
As a BIE II on our team you will sit at the intersection of data science and product - owning end-to-end analytics solutions from ambiguous problem spaces to deployed insights. Youll design scalable data models build high-quality datasets and partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows. This role goes beyond dashboards: youll share how AI is used in production evaluate model performance and ensure outputs are accurate explainable and actionable.

Key responsibilities include developing performant ETL pipelines defining metrics and experimentation frameworks and building intuitive reporting layers that surface both descriptive and predictive insights.

Were looking for someone who is equally comfortable writing complex SQL thinking statistically about data and collaborating on AI-driven solutions. If youre excited about building the next generation of data AI agents/systems that directly impact operations this role offers high ownership and visibility.

About the team
R2L covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities including Sub Same Day (SSD) Rural Super Rural (RSR) Amazon Now and SSD Direct. Our mission is simple: fast accurate delivery. To meet that mission at scale we are investing heavily in intelligent automation and AI-driven decision-making that can adapt as quickly as our business does.

R2L is one of Amazons fastest-growing logistics organizations and this role sits at the frontier of how we use AI to run our business. You wont just be building dashboards youll be building the intelligent systems that power how our teams make decisions and take action every day.

- 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