Senior Business Intelligence Engineer, Global Mile, Cargo Integrity

1 week ago


Tempe, Arizona, United States Amazon Full time
About the Role

We are seeking a highly skilled Senior Business Intelligence Engineer to join our Cargo Integrity & Recovery Services team at Amazon Global Logistics. As a key member of our team, you will be responsible for designing, implementing, and maintaining robust business intelligence solutions that empower stakeholders to make data-driven decisions.

Key Responsibilities
  • Design and develop complex data models, ETL processes, and interactive dashboards/visualizations to support various initiatives, such as Manifest Automation, Continuous Improvement, Unplanned Charge Automation, Cargo-theft reduction, and Seller Risk Assessment.
  • Collaborate closely with business stakeholders to deeply understand their reporting and analytics requirements.
  • Automate data integration and transformation workflows to ensure timely, accurate, and scalable reporting capabilities.
  • Optimize query performance to support increasing data volumes and user demands, ensuring BI infrastructure remains efficient and reliable.
  • Provide support and hands-on training to end-users.
  • Stay on top of the latest BI trends and recommend strategic improvements.
About the Team

The Cargo Integrity & Recovery Services team is part of Amazon Global Logistics (Amazon Inbound Transportation). We are a passionate and dedicated group focused on upholding financial compliance, cargo integrity, creating end-to-end visibility in Amazon's inbound supply chain network, increasing trust, and reducing risks for our customers. Our team fosters a supportive and inclusive work environment, where we collaborate to deliver outstanding results and an exceptional customer experience.

Basic Qualifications
  • 10+ years of professional or military experience.
  • 5+ years of SQL experience.
  • Experience programming to extract, transform and clean large (multi-TB) data sets.
  • Experience with theory and practice of design of experiments and statistical analysis of results.
  • Experience with AWS technologies.
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining.
Preferred Qualifications
  • Experience working directly with business stakeholders to translate between data and business needs.
  • Experience managing, analyzing and communicating results to senior leadership.

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply.



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