Business Intelligence Engineer

Responsibilities

• Work with business customers to gather requirements and deliver complete data analytical solutions
• Learn why customers are asking for data and what their underlying questions and business goals are
• Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
• Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
• Drive data democratization throughout the organization, enabling others to self-serve their data needs

Requirements

• 5+ years of SQL, ETL or Oracle experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields
• 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 working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• 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

About the Company

Amazon Web Services, Inc. is a global leader in cloud computing. The AWS Regions Finance team operates across the full P&L to identify risks and opportunities, driving business performance and recommending infrastructure expansion through advanced metrics and analytical solutions.