Senior BI Engineer — AWS Analytics & AI Insights

Amazon; Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon seeks a Sr. Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team supporting Amazon Quick. The role focuses on building scalable data pipelines and delivering data-driven insights that drive adoption and growth.

Ideal candidates have 5+ years of SQL experience, AWS tech proficiency, and strong skills in data modeling, ETL, and Python scripting. You will mentor others and shape analytics standards across the team.

Qualifications

• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Responsibilities

• Develop a deep understanding of the business drivers, customer behavior, and data landscape for Amazon Quick.
• Own and deliver a comprehensive reporting and analytical roadmap that surfaces the key metrics for adoption, engagement, and growth.
• Deliver in-depth, data-driven analysis papers with actionable insights for business and product leaders.
• Design and build scalable data pipelines and models to derive key business metrics from large, complex datasets.
• Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage.
• Communicate findings clearly to business, finance, product, and technical audiences to influence decision-making and product enhancements.
• Build and adopt agentic capabilities that automate and accelerate analytical work, from report generation to answering analytical questions on demand.
• Mentor junior engineers and help establish new analytical standards and best practices for the team.

Skills

SQL

ETL pipelines

Python scripting

AWS technologies

Data modeling

Tools

QuickSight

Tableau

Job description

Amazon seeks a Sr. Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team supporting Amazon Quick. The role focuses on building scalable data pipelines and delivering data-driven insights that drive adoption and growth.

Ideal candidates have 5+ years of SQL experience, AWS tech proficiency, and strong skills in data modeling, ETL, and Python scripting. You will mentor others and shape analytics standards across the team.