Business Intelligence Engineer II, Fulfillment Optimization
Amazon - Vancouver, British Columbia, CAN
Posted Apr 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Business Intelligence Engineer II, Fulfillment Optimization Vancouver, British Columbia, CAN Have you ever ordered a product on Amazon and wondered how it got to you so fast? Did you ever think about where this package came from and how much it cost to deliver? Join us in establishing the strategic vision and leading the transformation of Amazon's transportation network as we build real-time, intelligent, and fully automated systems that optimize package delivery across the world's most complex logistics network. We're looking for a talented and motivated Business Intelligence Engineer who enjoys the challenge of diving into complex business problems, providing data-driven insights, and making recommendations that directly impact the business. You will work closely with software engineers, product management, design, operations, and business stakeholders to drive decisions and bring products to production across the different Amazon transportation teams. You will enable the creation of data models that will drive regional parity, scalability, programmability of every aspect of transportation systems. Your responsibility is to expose and measure the current performance of our systems, identify key patterns of success and failure, find and quantify opportunities for improvement, enable prioritization of features and faster adoption of products. Successful team members are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results. They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights necessary to influence decision making across organizations. They find timely answers buried in large data sets
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