Business Intelligence Engineer II, 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 y 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
• Building intuitive reporting layers that surface both descriptive and predictive insights.

• 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.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

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 Amazon's fastest-growing logistics organizations, and this role sits at the frontier of how we use AI to run our business. You won't just be building dashboards - you'll 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, No
  
  SQL 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…