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 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.
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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 https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually