Business Intelligence Engineer, Amazon Freight

Key job 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

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• 3+ years of experience using excel for deep dive and provide actionable insight to stakeholders

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