Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain

Amazon • Seattle, WA

7d • $99,500 - $160,000 • Onsite

About The Position

Prime Video is a leading entertainment platform offering a wide range of content across various devices. The technology teams are focused on creating a best-in-class digital video experience. As a technologist at Prime Video, you will have end-to-end ownership of product, user experience, design, and technology. This role involves working on fast-paced, challenging, and varied projects, with opportunities for experimentation, risk-taking, and collaboration. The company values diverse perspectives and offers global opportunities for career growth within Prime Video Tech.

Requirements

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• 4+ 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Nice To Haves

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Proven ability to determine when and how to integrate GenAI tools, evaluate and refine GenAI outputs, and apply responsible AI practices to augment productivity and quality

Responsibilities

• Analyze data to identify and execute on business opportunities
• Understand data resources and select appropriate sources for each analysis
• Build fast prototypes using Amazon AI tools (Kiro, Claude CLI, QuickSuite) and translate them into production-grade data products
• Evaluate requirements and select optimal tools, balancing speed, efficiency, and scalability
• Build data pipelines and dashboards from multi-dimensional datasets to report product metrics and KPIs
• Present insights and recommendations to stakeholders verbally and in writing

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level