AI-Driven BI Engineer for Operations Analytics

Amazon Web Services (AWS); Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Business Intelligence Engineer to own analytics for agentic AI automation across BPO operations. You will build data pipelines, quantify automation impact, and deliver actionable insights to leadership.

This role blends data engineering, BI, and AI ops, with emphasis on reliability and data quality. You will operate in a fast-paced environment, owning ETL/ELT pipelines, scheduling infra, and deep-diving analyses to inform automation investments and

Qualifications

• 3+ years in data analysis with Redshift, Oracle or NoSQL.
• Experience creating data visualizations with Tableau or QuickSight.
• Experience modeling data, warehousing, and building ETL pipelines.
• SQL proficiency and Python scripting for data processing.
• Bachelor's degree in BI, engineering, CS, math or equivalent.

Responsibilities

• Measure impact of AI automation on operational metrics and outcomes.
• Design and maintain data pipelines (ETL/ELT) and orchestration.
• Build dashboards and provide data-driven insights to leadership.
• Partner with engineering for data quality and observability.
• Deliver ad-hoc analyses and self-service analytics for stakeholders.

Skills

Data analysis

Data visualization

ETL/ELT

SQL proficiency

Education

Bachelor's degree in BI, engineering, CS, maths, or related field

Tools

Tableau

QuickSight

SQL

Python

Job description

Amazon Web Services (AWS) is seeking a Business Intelligence Engineer to own analytics for agentic AI automation across BPO operations. You will build data pipelines, quantify automation impact, and deliver actionable insights to leadership.

This role blends data engineering, BI, and AI ops, with emphasis on reliability and data quality. You will operate in a fast-paced environment, owning ETL/ELT pipelines, scheduling infra, and deep-diving analyses to inform automation investments and