Business Intelligence Eng , AMZL PPT Analytics
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast Have you wondered where it came from and what series of events helped make that quick delivery possible If so the Amazon Logistics (AMZL) Production Planning team is for you. We manage a supply chain of vehicles that help deliver billions of packages each year and will only be more vital in increasing the speed of delivery to our customers.
Are you interested in designing engineering implementing and owning the metrics model that drives continuous improvement for Amazons global delivery operations AMZL delivery operations manage the delivery of tens of millions of products every week to Amazons customers and are on pace to become one of the largest parcel carriers in the world.
The AMZL PPT Analytics team seeks an enthusiastic customer-obsessed Business Intelligence Engineer to help shape the next generation of LLM-driven analytics at Amazon. As a BIE on this team you will define and evolve the foundation of how customers interact with data - building the data dictionary that powers the agents knowledge base refining prompts and workflows and driving self-service analytics experiences that scale across AMZL and R2L.
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 agents 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 solutionsdriving change not only through metrics but through the conversational interfaces and intelligent agents that customers use every day.
Key job responsibilities
Partner with technology science and analytics teams to design and evolve the UTR Analytics Agent including data dictionary governance knowledge base curation and conversational workflows.
Engineer critical input/output metrics and align them with the agents prompt templates to ensure accurate explainable and scalable insights across the full operations spectrum.
Build and expand attribution use-cases within the Analytics Agent (e.g. DEA VET/VTO COH QXG) enabling customers to diagnose drivers of operational misses compare levers and understand root causes through conversational interfaces.
Develop and automate process performance metrics that power the agents recommendationsenabling root-cause identification trend detection and prescriptive actions for global delivery stations.
Manage and prioritize multiple analytics agent features (metrics onboarding attribution logic prompt tuning) across concurrent projects and business lines.
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
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience in Statistical Analysis packages such as R SAS and Matlab
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you interested in designing engineering implementing and owning the metrics model that drives continuous improvement for Amazons global delivery operations AMZL delivery operations manage the delivery of tens of millions of products every week to Amazons customers and are on pace to become one of the largest parcel carriers in the world.
The AMZL PPT Analytics team seeks an enthusiastic customer-obsessed Business Intelligence Engineer to help shape the next generation of LLM-driven analytics at Amazon. As a BIE on this team you will define and evolve the foundation of how customers interact with data - building the data dictionary that powers the agents knowledge base refining prompts and workflows and driving self-service analytics experiences that scale across AMZL and R2L.
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 agents 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 solutionsdriving change not only through metrics but through the conversational interfaces and intelligent agents that customers use every day.
Key job responsibilities
Partner with technology science and analytics teams to design and evolve the UTR Analytics Agent including data dictionary governance knowledge base curation and conversational workflows.
Engineer critical input/output metrics and align them with the agents prompt templates to ensure accurate explainable and scalable insights across the full operations spectrum.
Build and expand attribution use-cases within the Analytics Agent (e.g. DEA VET/VTO COH QXG) enabling customers to diagnose drivers of operational misses compare levers and understand root causes through conversational interfaces.
Develop and automate process performance metrics that power the agents recommendationsenabling root-cause identification trend detection and prescriptive actions for global delivery stations.
Manage and prioritize multiple analytics agent features (metrics onboarding attribution logic prompt tuning) across concurrent projects and business lines.
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
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience in Statistical Analysis packages such as R SAS and Matlab
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
