Cost-Optimization BI Engineer: Data Pipelines & Dashboards

Amazon; Atlanta (GA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Business Intelligence Engineer to build the data foundation and analytical tooling powering intermodal cost optimization. This hands-on role transforms high-volume supply chain data into automated pipelines, self-service dashboards, and deep-dive analyses to surface cost-reduction opportunities and drive operational decisions.

You will own the end-to-end analytics lifecycle from data modeling and ETL development to visualization and insight generation,

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

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
• Deep‑Dive Analysis Conduct rigorous analyses on cost trends, operational inefficiencies, and network anomalies to identify root causes and quantify savings opportunities
• Metrics & Data Quality Define, instrument, and monitor key business metrics. Establish data quality checks and validation frameworks to ensure analytics are accurate
• Automation & Tooling Identify manual, repetitive analytical workflows and automate them
• 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

Skills

SQL

Data Modeling

ETL Development

Statistical Analysis

Python

Data Visualization

Cross-functional Collaboration

Education

Bachelor's degree in CS/Engineering/Math/Statistics/Economics

Tools

Tableau

Amazon Redshift

AWS (EC2/DynamoDB/S3/Redshift)

NoSQL

Oracle

Job description

Amazon.com Services LLC is seeking a Business Intelligence Engineer to build the data foundation and analytical tooling powering intermodal cost optimization. This hands-on role transforms high-volume supply chain data into automated pipelines, self-service dashboards, and deep-dive analyses to surface cost-reduction opportunities and drive operational decisions.

You will own the end-to-end analytics lifecycle from data modeling and ETL development to visualization and insight generation,