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

Amazon • Bellevue, WA

4d • Onsite

About The Position

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. 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. You'll 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: you'll 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. We're looking for someone who is equally comfortable writing complex SQL, thinking statistically about data, and collaborating on AI-driven solutions. If you're excited about building the next generation of data + AI agents/systems that directly impact operations, this role offers high ownership and visibility.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• Design scalable data models
• Build high-quality datasets
• Partner closely with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows
• Share how AI is used in production
• Evaluate model performance
• Ensure outputs are accurate, explainable, and actionable
• Develop performant ETL pipelines
• Define metrics and experimentation frameworks
• Build intuitive reporting layers that surface both descriptive and predictive insights

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed