Data Intelligence Engineer - Streaming Personalization

Prime Video & Amazon MGM Studios; Seattle (WA); On-site; USD 99,500 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Seattle seeks a data analytics professional to drive strategic decisions for Prime Video. You will collaborate with engineering, product, and marketing to set goals, design scalable data systems, and build dashboards that visualize key metrics.

Applicants should have strong SQL, ETL, and data modeling experience, plus familiarity with Redshift and BI tools. This is a full-time role based in Seattle with competitive compensation and RSU benefits.

Qualifications

• 3+ years 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 scripting

ETL pipelines

Data modeling

Statistical analysis (R/SAS/Matlab)

Education

Bachelor's degree or higher in quantitative field

Tools

Tableau

Quicksight

Redshift

Oracle

NoSQL

Job description

Amazon.com Services LLC in Seattle seeks a data analytics professional to drive strategic decisions for Prime Video. You will collaborate with engineering, product, and marketing to set goals, design scalable data systems, and build dashboards that visualize key metrics.

Applicants should have strong SQL, ETL, and data modeling experience, plus familiarity with Redshift and BI tools. This is a full-time role based in Seattle with competitive compensation and RSU benefits.