Senior BI Engineer, AI-Driven Supply Chain Analytics

Amazon Inc.; Austin (TX); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon is seeking a Senior Business Intelligence Engineer to drive AI-enabled analytics with exposure to executive decisions. You will define scalable processes and dive deep into global metrics across multiple business units, applying business and technical acumen in a fast-paced environment.

You will design AI tools, automate recurrent reporting, and collaborate with Product Managers to transform business problems into data requirements, while ensuring data integrity and proper documentation.

Qualifications

• 5+ years as a data analyst/BI role with executive reporting exposure.
• Experience creating AI-based tools for non-technical stakeholders at executive level.
• Experience communicating results to executive leadership.
• Ability to process large, multi-source datasets.
• Strong background in data/BI space.
• Bachelor's degree or foreign equivalent in CS/Engineering/Math/Statistics.

Responsibilities

• Design and build AI tools deriving insights from large datasets.
• Develop automated solutions for recurring reporting and analyses.
• Improve analytical processes by automation and self-service scaling.
• Collaborate with PMs to translate data problems into requirements.
• Adhere to best practices in reporting: data integrity, testing, validation, and docs.

Skills

5+ years experience

AI in analytics

Executive storytelling

Data visualization

Large dataset analysis

Python / SQL

Cloud tools (AWS)

Education

Bachelor's degree in CS/Engineering/Math/Statistics

Master's degree in quantitative field

Tools

AWS

Redshift

S3

Hadoop

Python

SQL

Job description

Amazon is seeking a Senior Business Intelligence Engineer to drive AI-enabled analytics with exposure to executive decisions. You will define scalable processes and dive deep into global metrics across multiple business units, applying business and technical acumen in a fast-paced environment.

You will design AI tools, automate recurrent reporting, and collaborate with Product Managers to transform business problems into data requirements, while ensuring data integrity and proper documentation.