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

Amazon · Bellevue, WA · 2 mo ago
AnalystFull-time

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.

About the role

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.

Responsibilities

  • Developing performant ETL pipelines
  • Defining metrics and experimentation frameworks
  • Building intuitive reporting layers that surface both descriptive and predictive insights

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 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.

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • 1+ years of SQL, ETL, or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources
  • 1+ years of performing statistical analysis
  • 1+ years of developing automated reporting
  • 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

Benefits

  • Medical, dental, and vision coverage
  • Maternity and parental leave options
  • Paid time off (PTO)
  • 401(k) plan with company matching
  • Sign-on payments and restricted stock units (RSUs)
  • Health insurance (including basic life & AD&D insurance and options for supplemental life plans)
  • Employee Assistance Program (EAP) and mental health support
  • Medical advice line
  • Flexible spending accounts
  • Adoption and surrogacy reimbursement coverage

Pay

USA, WA, Bellevue - $99,500.00 - $160,000.00 USD annually

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