Amazon Business Intelligence Eng AMZL PPT Analytics 

United States, Washington, Bellevue 

953923257

In this role, you will own the engineering behind core AI/BI initiatives that simplify how operators, planners, and leaders access insights. You will work on building scalable metadata layers, designing intelligent retrieval logic, and ensuring the agent’s responses are accurate, explainable, and aligned to business priorities.To be successful, you need to be a proven engineer, communicator, and problem solver. You will deal with ambiguity, experiment with evolving LLM prompting strategies, and continuously raise the bar on how analytics are consumed. Great candidates are comfortable blending data, engineering, and generative AI techniques to deliver practical solutions—driving change not only through metrics but through the conversational interfaces and intelligent agents that customers use every day.Key job responsibilities
Engineer critical input/output metrics and align them with the agent’s prompt templates to ensure accurate, explainable, and scalable insights across the full operations spectrum.Develop and automate process performance metrics that power the agent’s recommendations—enabling root-cause identification, trend detection, and prescriptive actions for global delivery stations.Communicate findings, attribution insights, and agent adoption results with diverse internal stakeholders and leadership audiences, ensuring alignment and trust in agent-driven analytics.About the team
The AMZL Production Planning Analytics team focuses on building automated solutions for our last mile network. We drive improved accuracy, reduced effort and reduced variation. We work with our Planning, Operations, Finance and People eXperience and Technology (PXT) teams to understand business requirements and deliver customized solutions to support day to day execution and the future vision of value add work for our partners.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience with forecasting and statistical analysis
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling