Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO

Amazon.com, Inc.
Bellevue, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 160K

Job location

Bellevue, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
C++
Databases
Data Architecture
ETL
Data Mining
Data Structures
Data Systems
Data Visualization
Data Warehousing
Amazon DynamoDB
R
Python
Log Files
Matlab
Machine Learning
NoSQL
Oracle Applications
SAS (Software)
Software Engineering
SQL Databases
Tableau
Data Processing
Scripting (Bash/Python/Go/Ruby)
Build Management
Data Pipelines
Redshift

Job description

Every time an Amazon Customer makes a purchase, the Fulfillment Optimization (FO) Team determines how to fulfill that order in the most cost-effective way while meeting the delivery promise. Our planning inputs - Units per Box (UPB), Destination Demand Forecast (DDF), and Cube per Package (CPP) - are foundational signals consumed by transportation planning, capacity planning, and cost forecasting systems across Amazon's fulfillment network. Getting these forecasts right directly impacts billions of dollars in annual fulfillment cost.

We are part of Amazon's Supply Chain Optimization Technology (SCOT) Group, which develops systems that optimize inventory placement, transportation, and fulfillment plans across marketplaces worldwide., Own the data architecture and reporting infrastructure for UPB, DDF, and CPP forecasting inputs across US and international marketplaces

  • Build and maintain automated pipelines that produce weekly forecast bridges, variance decompositions, and accuracy tracking consumed by leadership (WBR, QBR, OP cycles)
  • Develop AI-assisted analytical workflows that automate recurring analyses, anomaly detection, and root-cause investigation across large-scale forecasting datasets
  • Partner with research scientists and economists to validate model outputs, backtest forecast accuracy, and translate model improvements into business impact ($M attribution)
  • Design and build self-service dashboards and data products that enable product managers and scientists to independently explore forecast performance without ad-hoc requests
  • Mine and integrate data across simulation results, log files, fulfillment systems, and transportation datasets to identify trends, quantify risks, and support planning decisions
  • Drive data quality improvement projects - defining data contracts, monitoring freshness/completeness, and building alerting systems that surface issues before they reach downstream consumers
  • Collaborate with software development teams to implement analytics systems and data structures that support ML model delivery and large-scale experimentation

Requirements

The FO Planning & Forecasting team is seeking a Business Intelligence Engineer (BIE) who combines deep analytical skills with a builder's mindset - someone who can architect data pipelines, develop automated reporting systems, and apply AI-powered tooling to accelerate insight generation and decision-making at scale., 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Preferred Qualifications

  • 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

Benefits & conditions

The benefits that generally apply to regular, full-time employees include:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!, The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

Apply for this position