Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, transportation and logistics
BusinessIntelligenceEngineer,Rapid&RuralLogistics(R2L)Science&AI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer, Rapid & Rural Logistics (R2L) Science & AI at Amazon.com Services LLC. Skills: Business intelligence, Data science, AI. Own end-to-end analytics solutions. Design scalable data models”
Industry & Context.
Analyzing data; Statistical analysis; Data modeling
What They're Looking For.
Must Have
3+ years analyzing data, 1+ years SQL, 1+ years processing large datasets, 1+ years performing statistical analysis, 1+ years developing automated reporting, Experience with data visualization, Experience with data modeling, Experience with building ETL pipelines, Experience using SQL to pull data, Scripting experience (Python)
Nice to Have
Experience with AWS solutions, Experience in data mining, Experience using databases in a business environment
What You'll Do.
Own end-to-end analytics solutions
Design scalable data models
Build high-quality datasets
Integrate predictive models
Evaluate model performance
Ensure outputs are accurate
Ensure outputs are explainable
Ensure outputs are actionable
Develop performant ETL pipelines
Define experimentation frameworks
Build intuitive reporting layers
Surface descriptive insights
Surface predictive insights
How You'll Work.
Team & Collaboration
Partner with Data Scientists; Partner with System Development Engineers
Full Job Description
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. 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. 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 sys
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