BI Engineer, Personalization & Discovery - Global Impact

Prime Video & Amazon MGM Studios; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Business Intelligence Engineer to shape data-driven decisions for Prime Video Personalization and Discovery. You will collaborate with engineering, product, and marketing to uncover viewer patterns and translate insights into actionable recommendations.

This role focuses on scalable data solutions, dashboards, and analytics at the scale of Prime Video. You will work with SQL, ETL, Redshift, QuickSight, Tableau, and AWS tools to improve the personalized

Qualifications

• 3+ years of data analysis with Redshift, Oracle or NoSQL experience.
• Experience in data visualization with Tableau or QuickSight or similar tools.
• Experience modeling data, warehousing and building ETL pipelines.
• Experience with statistical analysis packages such as R, SAS and Matlab.
• SQL to pull data from a database and Python scripting for data processing.

Responsibilities

• Drive data-based strategic decisions for international video streaming service.
• Partner with engineering, product, and marketing teams.
• Set and track program goals and metrics.
• Design scalable data solutions based on business requirements.
• Develop reporting dashboards and metrics visualization.
• Use SQL, ETL, Redshift, QuickSight, and Tableau.
• Manage complete development lifecycle from design to maintenance.

Skills

Redshift experience

Tableau / QuickSight

ETL pipelines

Statistical analysis (R, SAS, Matlab)

SQL + Python scripting

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Quicksight

AWS (EC2, DynamoDB, S3, Redshift)

Job description

Amazon.com Services LLC is seeking a Business Intelligence Engineer to shape data-driven decisions for Prime Video Personalization and Discovery. You will collaborate with engineering, product, and marketing to uncover viewer patterns and translate insights into actionable recommendations.

This role focuses on scalable data solutions, dashboards, and analytics at the scale of Prime Video. You will work with SQL, ETL, Redshift, QuickSight, Tableau, and AWS tools to improve the personalized