Senior AI-Driven BI Engineer, Supply Chain Analytics

Socket.dev; Tempe (AZ); On-site; USD 130,400 - 176,300; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks a Senior Business Intelligence Engineer to drive AI-powered analytics with frequent interaction with senior leadership. You will define scalable data processes, and dive deep into product and program metrics across global units to enable strategic decisions.

You will design AI tools, automate reporting, and partner with Product Managers to transform business problems into data and reporting requirements, ensuring data integrity and robust validation.

Qualifications

• Experience programming to extract, transform and clean large data sets (multi-TB).
• Experience with AWS technologies and data infrastructure.
• Experience with information retrieval, data science, ML and data mining.

Responsibilities

• Design and build AI tools that derive actionable insights from large datasets.
• Own automated solutions for recurring reporting and analyses of operational metrics decks.
• Improve analytical processes by automating self-service support for customers.
• Collaborate with Product Managers to translate business problems into data requirements.
• Uphold best practices in reporting: data integrity, testing, validation, and documentation.

Skills

Data extraction

Data cleaning

AWS

Information retrieval

Data science

Machine learning

Data mining

Python

SQL

BI

Education

Master's degree in statistics, data science, or equivalent

Tools

AWS Redshift

S3

Hadoop

Job description

Amazon seeks a Senior Business Intelligence Engineer to drive AI-powered analytics with frequent interaction with senior leadership. You will define scalable data processes, and dive deep into product and program metrics across global units to enable strategic decisions.

You will design AI tools, automate reporting, and partner with Product Managers to transform business problems into data and reporting requirements, ensuring data integrity and robust validation.