BI Engineer - Prime Video Product Analytics

Amazon Inc.; Seattle (WA); Hybrid; USD 99,000 - 160,000; Full time

Benefits offered by this job

RSUs

401(k) matching

Health insurance

Job summary

Amazon Prime Video is seeking a Business Intelligence Engineer to help build scalable data models, pipelines, and dashboards for PVPA marketing analytics. You will design experiments, analyze engagement patterns, and deliver insights to stakeholders across marketing and product teams.

The role requires strong SQL, data visualization, and ETL skills, with experience in Redshift and AWS tools. Collaboration and storytelling are essential for influencing strategy.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• 3+ years of in the job offered or a related occupation experience
• 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• 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

• Design and maintain scalable data models, pipelines, and reporting tools that enable accurate and timely marketing performance measurement across multiple customer engagement channels (e.g., email, push, X-site, WhatsApp, paid media).
• Lead the design, execution, and analysis of A/B tests to evaluate marketing strategies, targeting logic, and content variations—ensuring statistical rigor and actionable insights.
• Deliver deep customer insights by analyzing behavioral data and engagement patterns, helping stakeholder and partner teams better understand customer needs, preferences, and responses to messaging.
• Develop dashboards and self‑service tools to enable marketers, product managers, and other stakeholders to explore data, monitor performance, and make informed decisions.
• Collaborate closely with cross‑functional teams—including Data Scientists, Engineers, Product Managers, and Marketing Managers—to define metrics, surface insights, and influence strategy through data.
• Communicate findings clearly to both technical and non‑technical stakeholders, using data storytelling to highlight opportunities, surface risks, and drive alignment on next steps.
• Champion data accuracy, consistency, and experimentation best practices to raise the overall bar for measurement and insight generation in Prime Video marketing.

Skills

SQL

Data visualization

Statistics

Python

ETL

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field

Tools

Tableau

QuickSight

Redshift

EC2

S3

Job description

Amazon Prime Video is seeking a Business Intelligence Engineer to help build scalable data models, pipelines, and dashboards for PVPA marketing analytics. You will design experiments, analyze engagement patterns, and deliver insights to stakeholders across marketing and product teams.

The role requires strong SQL, data visualization, and ETL skills, with experience in Redshift and AWS tools. Collaboration and storytelling are essential for influencing strategy.