Role at a glance
- Salary
- $99.5K – $160K/yr
- Location
- Bellevue, Washington, United States
- Work arrangement
- On-site
- Employment
- Contract
- Experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The BIE II role sits within Amazon’s Rural and Rapid Logistics organization, supporting fast and accurate delivery through AI-powered analytics and decision systems. The role owns end-to-end analytics solutions, combining business intelligence with machine learning and AI agents to support operational decisions.
What You'll Do
- Develop performant ETL pipelines.
- Define metrics and experimentation frameworks.
- Build intuitive reporting layers that surface descriptive and predictive insights.
- Design scalable data models and build high-quality datasets.
- Partner with Data Scientists and System Development Engineers to integrate predictive models and AI agents into business workflows.
- Evaluate model performance and ensure outputs are accurate, explainable, and actionable.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 job responsibilities
Key responsibilities include:
- Developing performant ETL pipelines
- Defining metrics and experimentation frameworks
- 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.
A day in the life
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.
The benefits that generally apply to regular, full-time employees include:
- 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!
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.
Basic Qualifications
- 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
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
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.