BI Engineer, Global Logistics Analytics

Amazon

Bellevue (WA)

On-site

USD 100,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon Logistics is seeking a smart and ambitious BI Engineer to develop and support BI and operations reporting for AMZL. You will work in a large data warehouse environment with cross-functional partners across Operations, HR, and Technology.

The role emphasizes designing scalable data pipelines, building end-user dashboards, and delivering actionable insights to improve delivery performance at scale.

Qualifications

  • 3+ years analyzing and interpreting data with relational and NoSQL databases.
  • Experience in data modeling, warehousing and ETL development.
  • Strong SQL skills and scripting in Python for data processing.

Responsibilities

  • Partner with stakeholders to gather requirements and deliver end-to-end BI solutions.
  • Prioritize AMZL data and BI development needs with data engineers and engineers.
  • Work with global teams to identify BI capabilities and projects.
  • Lead and grow a team of BI Engineers and Analysts.
  • Perform deep dive analyses on operations and deliver actionable insights.
  • Analyze geo-spatial logistics data and output recommended improvements.
  • Coordinate between WW Planning analytics and operations teams to drive delivery insights.
  • Develop queries and visualizations for ad-hoc requests and ongoing reporting.

Skills

Data analysis
SQL
Python
Data visualization

Education

Master's degree in BI/CS/Math/Statistics

Tools

Tableau
Quicksight
ETL pipelines

Job description

Amazon Logistics is seeking a smart and ambitious BI Engineer to develop and support BI and operations reporting for AMZL. You will work in a large data warehouse environment with cross-functional partners across Operations, HR, and Technology.

The role emphasizes designing scalable data pipelines, building end-user dashboards, and delivering actionable insights to improve delivery performance at scale.

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