Business Intelligence Engineer, LMAQ, Amazon

October 14, 2026

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Job Description

Amazon is hiring a business intelligence engineer for its Last Mile Quality team to improve address management, customer experience, and operational performance. The role involves analyzing complex data, developing business insights, creating reporting solutions, reducing defects, and partnering with technology, operations, finance, and product teams. The position requires strong analytical, technical, communication, and stakeholder management skills. 

Experience: 2+ years

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Responsibilities

  • Manage customer expectations and resolve conflicts while balancing customer and organizational requirements. 
  • Create processes and approaches that optimize operational effectiveness, predictability, and scalable business growth.
  • Collaborate with the product and technology groups to impact the development of customer-facing products and future product roadmaps.
  • Use quantitative and qualitative data analysis in prioritizing initiatives and making decisions.
  • Work with global partners in high-impact projects and benchmarking projects.

Requirements

  • At least 2 years’ experience in data analysis and interpretation by means of Redshift, Oracle, NoSQL, or any other tool alike.
  • Experience in data visualization and reporting using Tableau, QuickSight, or any other tool alike.
  • Knowledge of scripting languages such as Python, Java, or R.
  • Experience in designing and maintaining the ETL process, data modelling, queries, metrics, and BI deliverables.
  • Be skilled in statistics, requirements collection, insight generation, and stakeholder communication.

Preferred Qualifications

  • Familiarity with business intelligence tools and technologies used for operational reporting and analysis.
  • Understanding of database structures and methods for organizing business information effectively.
  • Experience in designing and developing customized reporting systems via automation and reporting platforms.
  • Analytical skills with the capability of prioritizing initiatives based on quantitative and qualitative inputs.
  • Excellent communication and problem-solving skills, as well as strong stakeholder and project management capabilities.