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Added 21 mins ago
Staff High Voltage System Architect and Simulation Engineer
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The Staff. HV System Design and Simulation Engineer will contribute to the advanced development of the High Voltage (HV) system architecture in Ford’s Universal EV (UEV) platform. In this…
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United States
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Amazon

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

Bellevue, WA, United States

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Job details

Posting language: English
Posted: Aug 5, 2026

Original job description

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 - In-region Assignments (IRA), Local Assignments (LA), Direct Lane Assignments (DLA) - 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.

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.

Key job responsibilities

Own the data architecture and reporting infrastructure for LA, IRA and DLA 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

A day in the life

Your morning starts with an automated variance report your pipeline generated overnight - IRA missed plan, and the system already attributed the gap to a drop in inventory availability. You add context and push the summary to leadership before 10am. Mid-day, you're building backtesting infrastructure for a scientist's new model, then pairing with a partner team to root-cause an unexpected data drift. In the afternoon, you're developing an AI agent that automates a recurring weekly report - retrieving data, computing breakdowns, and drafting the narrative with human review before publishing. You end the day reviewing a teammate's code change that adds a new marketplace to a forecasting pipeline. The thread across it all: building systems that make the team faster and the forecasts more reliable.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

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!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of SQL, ETL or Oracle experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
3+ years of performing statistical analysis experience
3+ 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

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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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

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More about this job

Skills

Business intelligence
Supply chain management
Analytical skills
Decision making
Leadership
Forecasting
Research
Software development
ML
Amazon Redshift
Oracle
NoSQL
SQL
Data engineering
Statistics
Reporting
Data visualization
Tableau
Data modelling
Warehouse operations
R
SAS
Data warehouse
Python
Manage quantitative data
AWS
Amazon DynamoDB
Data mining
Recruitment
Mental health

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