Join our Science and Analytics team as a Business Intelligence Engineer and leverage Amazon-scale data to drive critical insights into customer behavior. You will collaborate with experienced machine-learning scientists and engineers, transforming diverse data sources into actionable knowledge. This role offers autonomy, end-to-end ownership, and a customer-focused culture, contributing to the revolution of the book industry.

As a Business Intelligence Engineer, you will provide analytic support to scientists, product managers, and engineers by working with massive-scale data. You'll utilize your expertise in business analysis, metrics, reporting, and tools like SQL and Excel to derive meaningful insights. You will own the insights you generate, playing a key role in tactical decision-making for critical risk areas and connecting with global leaders in your field.

Candidates should possess at least 3 years of experience in data analysis and interpretation using tools like Redshift, Oracle, or NoSQL. A minimum of 2 years of experience with data visualization software such as Tableau or Quicksight is required. Proficiency in SQL for data extraction and Python scripting for data processing is essential. Experience with data modeling, warehousing, and building ETL pipelines is also necessary. A Bachelor's degree in a related field or equivalent Amazon RME experience is required.