[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Business Intelligence Engineer, Consumables Insights and Analytics US, WA, Seattle Data & Analytics Listed on Amazon’s official careers site. Posted October 15, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10579386/business-intelligence-engineer-consumables-insights-and-analytics) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Business Intelligence Engineer, Consumables Insights and Analytics ## Job description 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 ## At a glance - Posted by the employer: Oct 15, 2026 - First seen by OpenNash: Oct 18, 2026 - Last checked: Oct 18, 2026 - Listed for: 3 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10579386/business-intelligence-engineer-consumables-insights-and-analytics) ## More jobs at Amazon ### [2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ff40f3fb9994d287be5b/) US, WA, Seattle ### [2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ec62591ec9ad3128e879/) US, WA, Seattle ### [2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/7128f74c5feed87f1056/) US, WA, Seattle ### [AI/ML Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team](https://jobs.opennash.com/companies/amazon/jobs/099d20823db20e58f0cb/) US, WA, Seattle ### [Agentic Data Engineer, Frontier AI Tooling](https://jobs.opennash.com/companies/amazon/jobs/9dcc6d31850954e424d5/) US, WA, Seattle ## Similar jobs at other companies ### [Senior Business Intelligence Engineer](https://jobs.opennash.com/companies/humana/jobs/6a3669163e2cb633f99d/) Humana · Remote, Nationwide ### [Sr. Business Intelligence Engineer](https://jobs.opennash.com/companies/nrg-energy/jobs/7360ac4b595a4360e6a7/) NRG Energy · WA, US ### [Business Intelligence Analyst](https://jobs.opennash.com/companies/bae-systems/jobs/751253d96d0f30a0ed85/) BAE Systems · Norfolk, Virginia, United States ### [Senior Business Intelligence Developer](https://jobs.opennash.com/companies/fortinet/jobs/b34d303f562d45d99376/) Fortinet · Sunnyvale, CA, United States ### [HR Business Intelligence - Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/af0443b2f71c7e73b49a/) JPMorganChase · Wilmington, DE, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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