BI Engineer: AI Dashboards & SQL Insights for Global Ops

Amazon Web Services (AWS); Nashville (TN); On-site; USD 95,000 - 160,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Business Intelligence Engineer to support WWPS Sales & Operations by analyzing datasets, delivering insights through AI agents and dashboards, and writing SQL for deep-dive analyses.

You will collaborate across reporting units and management teams to ensure guidance, use cases, and documentation are available. The role focuses on building production-level Quick dashboards and apps, maintaining data pipelines, and translating business questions into scalable

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 3+ years of SQL, ETL or Oracle experience
• 3+ years of processing large, multi-dimensional datasets from multiple sources
• 3+ years of in the job offered or a related occupation experience
• 3+ years of developing automated reporting experience
• Experience with AI-powered development tools and GenAI is a plus

Responsibilities

• Owning the lifecycle of Amazon Quick assets (agents, apps, dashboards) and data pipelines from requirements gathering through deployment and maintenance
• Analyze datasets to identify actionable insights delivered via AI agents, chat bots, and narratives
• Write and debug SQL queries for deep-dive analyses to support business decisions
• Collaborate with external reporting units to support large-scale development efforts
• Define data models, metrics definitions, and KPIs for reporting
• Translate ambiguous requests into structured analytical approaches and scalable reporting solutions
• Coordinate cross-functional data standards and delivery timelines for large initiatives
• Develop and maintain technical documentation such as data dictionaries and runbooks

Tools

SQL

Redshift

Oracle

NoSQL

ETL

Python

AI/GenAI

Job description

Amazon Web Services, Inc. seeks a Business Intelligence Engineer to support WWPS Sales & Operations by analyzing datasets, delivering insights through AI agents and dashboards, and writing SQL for deep-dive analyses.

You will collaborate across reporting units and management teams to ensure guidance, use cases, and documentation are available. The role focuses on building production-level Quick dashboards and apps, maintaining data pipelines, and translating business questions into scalable