Business Intelligence Engineer, AWS Analytics and Data Solutions (ADS)

$74,100 - $165,600/Yr

Amazon - Seattle, WA

Full-time - Entry Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Business Intelligence Engineer (BIE) role within AWS Analytics and Data Solutions (ADS) focuses on leveraging analytical skills to drive data-driven decision-making across AWS Infrastructure Services. The BIE will be responsible for gathering customer insights, mining large datasets, and building visualizations and reporting tools to support business partners and senior leaders in making informed decisions. This position requires a blend of technical expertise, business acumen, and strong communication skills, all within a collaborative and inclusive team environment.

Responsibilities

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Be hands-on with ETL to build data pipeline to support automated reporting.
• Serve as liaison between the business and technical teams to provide actionable insights into current business performance and ad hoc analyses for future improvements.
• Build various data visualizations to illustrate business trends, patterns, and outliers through rich visualizations.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Requirements

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with scripting language (e.g., Python, Java, or R)

Nice-to-haves

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Benefits

• Flexible work culture
• Mentorship and career growth opportunities
• Diverse and inclusive workplace
• Work-life harmony