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Business Intelligence Engineer, Prime Video Growth and Commerce Analytics

Prime Video & Amazon MGM Studios
London
Description

Do you want to help inform the future of Prime Video Channels? We seek a Business Intelligence Engineer to focus on building world class processes around designing, collecting, organizing, and presenting data for our subscription business.

As a BI Engineer working on the PV Growth and Commerce Analytics team, you will be working closely with Product Managers, Marketing Managers, Content Acquisitions Managers, Finance Managers and other internal stakeholders to drive analytics that are timely, accurate, and actionable. A successful candidate knows and loves working with BI tools, is comfortable accessing and working with data from multiple sources, and can partner with internal stakeholders to help drive the business.

Key job responsibilities

  • Collect, analyze and present actionable data for Prime Video Channels Business
  • Understand high-level business objectives and continually align work with those objectives to meet needs of the business
  • Analyze and solve problems at their root, stepping back to understand the broader context
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Write high quality code to retrieve and analyze data
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use, and which not to use

Basic Qualifications

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • 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

Preferred Qualifications

  • 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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon Development Centre (London) Limited

Job ID: A3064347
Posted 2025-09-14

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