Business Intelligence Engineer

- 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
- 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

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