BI Engineer II — Middle Mile Optimization

Amazon; Minneapolis (MN); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon is seeking a Business Intelligence Engineer to lead the Middle Mile Transportation technology analytics. You will craft analytical strategies, build predictive models, and partner with executives, engineers, and operations to optimize cost and delivery efficiency.

Responsibilities include producing insightful reports, validating data integrity, and driving data-driven decisions across thousands of requests per second in a high-velocity environment.

Qualifications

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.

Responsibilities

• Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance
• Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements
• Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models
• Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Skills

Data analysis

SQL

Python

Data visualization

Statistical modeling

Tableau

Quicksight

AWS

Stakeholder communication

Education

Bachelor's degree in a quantitative field

Master's degree in BI/related field

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

Python

SQL

ETL

AWS (EC2, S3, DynamoDB)

Job description

Amazon is seeking a Business Intelligence Engineer to lead the Middle Mile Transportation technology analytics. You will craft analytical strategies, build predictive models, and partner with executives, engineers, and operations to optimize cost and delivery efficiency.

Responsibilities include producing insightful reports, validating data integrity, and driving data-driven decisions across thousands of requests per second in a high-velocity environment.