Business Intelligence Engineer, Amazon Shipping BI
Amazon - Bellevue, Washington, USA
Posted May 15, 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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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Business Intelligence Engineer, Amazon Shipping BI Bellevue, Washington, USA Amazon's global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes. We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network. As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business. Key job responsibilities Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility. Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions. Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format. Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic
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