About the Role

This role involves diving deep into data to engineer metrics models that drive continuous improvement for Amazon's eCommerce systems. The Business Intelligence Engineer will define key metrics, analyze trends, build data pipelines, and collaborate with development teams to support data-driven decision making.

Key Responsibilities

• Defining, developing and maintaining critical business and operational metrics reviewed on weekly, monthly, quarterly, and annual basis
• Analysis of historical data to identify trends and support decision making, including presentation of results and recommendations
• Collaborating with software development teams to implement analytics systems and data structures for large-scale data analysis
• Identifying data needs and driving data quality improvement projects
• Thought leadership on data mining and analysis, understanding Amazon's data resources and how to use them effectively

Required Skills & Qualifications

Must Have:

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Nice to Have:

• 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