Business Intelligence Engineer II, PAM

Earth's most customer-centric company powering the world's fastest-growing e-commerce business.
Luxembourg
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce · Logistics

Description For Business Intelligence Engineer II, PAM

Join Amazon's Sales and Operations Planning (S&OP) team as a Business Intelligence Engineer II within the Planning Automation Modules (PAM) team. This role is crucial in revolutionizing how S&OP generates plans across global operations. PAM currently supports inventory flow planning for over 300 Fulfillment Centers worldwide.

You'll be part of a pioneering team building infrastructure to support S&OP processes at a global scale. The role involves developing complex optimization models, creating data solutions, and implementing visualization metrics to enhance planning automation. You'll work with cutting-edge business intelligence tools and handle large-scale, complex datasets.

The position offers significant autonomy and ownership in solving challenging problems that directly impact customers. You'll collaborate with cross-functional teams across Transportation, Labor Planning, and Finance, while working closely with Supply Chain Optimization Technology teams in North America.

This is a unique opportunity to join a Day 1 initiative, where you'll help scale PAM for worldwide operations. The role combines technical expertise in data engineering with business impact, as you'll be responsible for maintaining and creating new data pipelines that serve worldwide S&OP and operation teams.

The ideal candidate should have a strong background in data analysis, process improvement, and the ability to dive deep into complex data. You'll be joining Amazon's Supply Chain organization, which powers the world's fastest-growing e-commerce business with a focus on customer-centricity and operational excellence.

Last updated 13 hours ago

Responsibilities For Business Intelligence Engineer II, PAM

  • Develop and implement scalable models, data solutions, and visualization metrics
  • Maintain and create new data pipelines
  • Lead critical process improvement initiatives
  • Collaborate with cross-functional teams
  • Build models and develop data solutions for S&OP activities
  • Create new visualization metrics to enhance S&OP activities
  • Drive process automation

Requirements For Business Intelligence Engineer II, PAM

Python
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience using SQL and Python to process data for modeling
  • Knowledge of SQL and data warehousing concepts
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL with large-scale, complex datasets
  • Bachelor's Degree in sciences, engineering, finance or equivalent

Benefits For Business Intelligence Engineer II, PAM

Medical Insurance
401k
Parental Leave
  • Comprehensive benefits package
  • Opportunity for career growth
  • Work with cutting-edge technology
  • Global impact on operations

Interested in this job?

Jobs Related To Amazon Business Intelligence Engineer II, PAM

Business Intelligence Engineer II, PAM

Business Intelligence Engineer II role at Amazon focusing on supply chain planning automation and data solutions for global operations.

Business Intelligence Engineer, AMZL EU BAT

Business Intelligence Engineer role at Amazon Logistics focusing on data analysis, visualization, and optimization of last-mile delivery operations in Europe.

Data Engineer II, AET Central Services Technology - Data

Data Engineer role at Amazon working on Foundational People Data Services team, building scalable data solutions using AWS technologies.

Data Engineer II, Ring Data Platform

Data Engineer II position at Ring focused on building and maintaining data infrastructure using AWS services and internal tools to support business analytics and data science initiatives.

Data Engineer, Amazon Customer Service

Data Engineer position at Amazon focusing on building and maintaining data pipelines to improve customer experience in the Global Customer Service team.