BI Engineer – Personalization & Discovery

Amazon; 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's Prime Video Personalization and Discovery team is hiring a Business Intelligence Engineer to shape insights for a global audience. You will partner with engineering, product, and marketing to uncover patterns in viewer behavior and translate them into actionable recommendations.

You'll influence how millions discover content, building dashboards and data models, while leveraging Redshift, Tableau, Quicksight, and AWS tools in a fast-paced, data-driven environment.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• 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.

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 tools like SQL, ETL, Redshift, QuickSight, and Tableau.
• Manage complete development lifecycle from design to maintenance.

Skills

Data analysis

SQL

Python

R/SAS/Matlab

Data visualization

ETL pipelines

Data modeling

Education

Bachelor's degree or higher in a quantitative field

Tools

Tableau

Quicksight

Redshift

Oracle

NoSQL

Job description

Amazon's Prime Video Personalization and Discovery team is hiring a Business Intelligence Engineer to shape insights for a global audience. You will partner with engineering, product, and marketing to uncover patterns in viewer behavior and translate them into actionable recommendations.

You'll influence how millions discover content, building dashboards and data models, while leveraging Redshift, Tableau, Quicksight, and AWS tools in a fast-paced, data-driven environment.