Senior AI BI Engineer, Global Supply Chain Analytics

Amazon Inc.

Bellevue (WA)

On-site

USD 130,000 - 176,000

Full time

4 days ago
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Job summary

Amazon.com Services LLC is seeking a Senior Business Intelligence Engineer (BIE) to drive AI-enabled analytics and support executive decision making across global business units. You will define scalable processes and translate complex product metrics into actionable insights.

You will design AI tools, automate recurrent reporting, and continuously improve analytics workflows. Collaborate with product managers, stakeholders, and cross-functional teams to deliver data-driven solutions at scale.

Qualifications

  • 5+ years as Data Analyst/Data Engineer/BI Analyst or related
  • Experience building AI-based tools for executive stakeholders
  • Experience communicating results to executive leadership
  • Experience processing large, multi-dimensional datasets from multiple sources
  • Experience in the data/BI space
  • Bachelor’s degree or foreign equivalent in CS/Engineering/Math/Stats/Econ

Responsibilities

  • Design and build AI tools deriving insights from large datasets
  • Develop automated solutions for recurrent reporting and analyses
  • Automate, scale, and simplify self-service analytics for stakeholders
  • Collaborate with Product Managers to translate business problems into data requirements
  • Adopt best practices in reporting: data integrity, tests, validation, and documentation

Skills

Data analysis
Executive communication
SQL proficiency
Python scripting
Problem solving

Education

Bachelor's degree in CS/Engineering/Math/Stats/Econ
Master's degree in data science/statistics

Tools

AWS
Redshift
S3
Hadoop

Job description

Amazon.com Services LLC is seeking a Senior Business Intelligence Engineer (BIE) to drive AI-enabled analytics and support executive decision making across global business units. You will define scalable processes and translate complex product metrics into actionable insights.

You will design AI tools, automate recurrent reporting, and continuously improve analytics workflows. Collaborate with product managers, stakeholders, and cross-functional teams to deliver data-driven solutions at scale.

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