amazon

amazon

Posted via Amazon Jobs

Business Intelligence Engineer, Consumables Insights and Analytics

Posted Oct 15, 2026

Role at a glance

Job function
AI & Data Data Analytics
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Seattle, Washington, United States
Work arrangement
On-site
Experience
Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Bachelor's degree 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
Education
Bachelor's degree

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Role Summary

AI-generated

The Business Intelligence Engineer designs business intelligence solutions and uses data analytics to inform and improve Amazon’s Consumables operations across North America. The role leads cross-functional analytics initiatives and develops reporting, tools, and frameworks for business decision-making.

What You'll Do

  • Design BI solutions and analytics tools for Amazon’s Consumables business.
  • Lead cross-functional initiatives across North America Stores and influence technology roadmaps.
  • Create executive reporting frameworks and deep-dive analysis tools.
  • Advance the analytics ecosystem through AI innovation and self-service capabilities.
  • Develop process optimization tools and intelligence roadmaps for automation, scale, and productivity.
  • Build analytical frameworks and knowledge repositories, and mentor team members through technical assessments.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required: 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.; experience with data visualization tools such as Tableau or QuickSight; data modeling, warehousing, and ETL pipelines; statistical analysis packages such as R, SAS, and Matlab; SQL and Python scripting for data processing and modeling; developing and presenting recommendations for new business-performance metrics; bachelor's degree.

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

At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon’s Consumables Insights and Analytics team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data analytics.

The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon executes Consumables businesses across the NA Store. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential.

Key job responsibilities
- Design complex BI solutions solving problems across Amazon Consumables business, delivering strategic insights with complete independence
- Lead cross-functional initiatives spanning North America Stores, influencing broader tech roadmaps and establishing CIA as a center of excellence
- Create executive-level reporting frameworks and deep-dive analysis tools that enable data-driven decision making across the Consumables ecosystem
- Architect the team's analytics ecosystem transformation through AI innovation, delivering enhanced productivity, intelligent self-service capabilities, and faster business decisions
- Design robust, extensible BI solutions setting the standard for technical excellence with focus on scalability, cost-efficiency, and operational leverage
- Create process optimization tools that challenge existing workflows and drive more scalable execution across category operations
- Develop comprehensive intelligence roadmaps addressing automation, scale, and productivity across the consumables value chain
- Build insights-oriented solutions enhancing workflows for category leaders, vendor managers, finance partners, and stakeholder teams
- Establish knowledge repositories and analytical frameworks supporting CIA's mission and broader organizational use
- Mentor team members and lead technical assessments supporting growth objectives
- Drive organizational best practices and frameworks that align teams toward coherent, scalable analytics approaches while maintaining stakeholder transparency

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree

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, Seattle - 99,500.00 - 160,000.00 USD annually
amazon

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.