Amazon's RBS (Retail Business Service) ARTS team is seeking a Business Intelligence Engineer to join their growing organization. This role is crucial in supporting Amazon's retail efficiency and paid services business. The position offers an excellent opportunity for growth for candidates who demonstrate strong ownership and maintain high standards.
The role involves working with Amazon's vast e-commerce data infrastructure to create and enhance retail selection on the worldwide Amazon online catalog. As a Business Intelligence Engineer, you'll be responsible for designing and implementing scalable data warehouse solutions, creating data pipelines, and developing insightful dashboards and reports.
The ideal candidate will be a self-starter with a passion for solving complex problems and working with data. You'll need to be comfortable handling multiple projects simultaneously and adapting to rapidly changing priorities. The position requires expertise in process optimization and systems thinking, with direct engagement with multiple internal teams to drive business projects and automation.
Key technical requirements include proficiency in Python, SQL, and ETL processes, along with experience in data warehousing and visualization tools. Knowledge of AWS services (such as Redshift, QuickSight, Lambda) and experience with statistical analysis packages are essential for success in this role.
This position offers the opportunity to work with one of the world's largest e-commerce platforms, handling complex datasets that directly impact customer experiences and business decisions. You'll be part of a team that's integral to Amazon's online product lifecycle and buying operations, ensuring the company maintains its competitive edge in the online retail space.
The role combines technical expertise with business acumen, requiring strong communication skills to work effectively with both technical and business stakeholders. You'll be expected to maintain high standards in data integrity, test design, analysis, validation, and documentation while working in a fast-paced, deadline-driven environment.