Business Intelligence Engineer, Sourcing Performance Operations
Amazon - Heredia, Heredia, CRI
Posted Mar 30, 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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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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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, Sourcing Performance Operations Heredia, Heredia, CRI Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot Strategic Sourcing Systems (OSS) at Amazon is seeking a Business Intelligence Engineer (BIE) to join our team. As a BIE in this role, you will be a key contributor to enhancing the Inbound efficiency and accurate predictions of our supply chain sourcing inbound operations through business intelligence. Our current focus is on improving overall visibility that Amazon has into incoming inbound freight through improving signal quality as well as signal aggregation. This allows us to orchestrate inbound freight through the supply chain, and improve overall inbound lead times. You will collaborate with cross-functional teams to drive data-driven insights that optimize inbound signals, scheduling, and overall supply chain performance. Key job responsibilities Design, develop, and maintain complex data models and ETL pipelines to support sourcing analytics Create and optimize SQL queries for large-scale data analysis Build interactive dashboards and visualizations Partner with business stakeholders to understand requirements and translate them into technical solutions Implement data quality controls and monitoring systems Develop automated reporting solutions and self-service analytics capabilities Collaborate with data engineering teams to optimize data architecture and performance About the team About
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