Business Intelligence Engineer, Amazon Intermodal

Amazon's Intermodal (AZIM) Network Optimization team is looking for a Business Intelligence Engineer to build the data foundation and analytical tooling that powers cost optimization across the intermodal network. This is a hands-on role responsible for transforming complex, high-volume supply chain data into automated pipelines, self-service dashboards, and deep-dive analyses that surface cost reduction opportunities and drive operational decisions.

Working closely with product managers, supply chain managers, and business stakeholders, you'll own the end-to-end analytics lifecycle — from data modeling and ETL development to visualization and insight generation. The ideal candidate combines strong technical skills in SQL, data engineering, and statistical analysis with genuine curiosity about the business, and thrives in a fast-paced environment where the quality and speed of your analytics directly shape where the network invests to reduce cost and improve efficiency.

Key job responsibilities
Data Pipeline & Infrastructure Design, build, and maintain scalable ETL pipelines and data models that consolidate intermodal cost, volume, and operational data into reliable, query-ready datasets.

Dashboards & Self-Service Analytics Develop and maintain automated dashboards and reporting mechanisms that give stakeholders real-time visibility into cost drivers, network performance, and optimization opportunities — reducing manual reporting effort.

Deep-Dive Analysis Conduct rigorous analyses on cost trends, operational inefficiencies, and network anomalies to identify root causes and quantify savings opportunities. Translate raw data into clear, actionable recommendations.

Metrics & Data Quality Define, instrument, and monitor key business metrics. Establish data quality checks and validation frameworks to ensure analytics are accurate and trusted across the org.

Automation & Tooling Identify manual, repetitive analytical workflows and automate them — building reusable tools and queries that scale the team's analytical capacity.

Cross-Functional Partnership Partner with Product, Supply Chain Managers, Finance, and Operations to understand analytical needs, prioritize requests, and deliver data solutions that inform cost optimization decisions.

A day in the life
You'll start each morning validating overnight data pipeline runs and checking dashboards for anomalies or data quality issues. From there, you'll dig into an analytical deep dive — querying large datasets to size a cost savings opportunity, investigating a network anomaly, or building a new metric requested by the team. You'll partner with Product Managers and Supply Chain Managers to translate business questions into data solutions, and collaborate with Finance to align on cost baselines and definitions. You'll spend time building — writing ETL code, refining data models, or automating a manual report. When you uncover an insight, you'll package it into a clear visualization or write-up for stakeholders and leadership.

Basic Qualifications

- 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
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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, GA, Atlanta - 99,500.00 - 160,000.00 USD annually