LeethubLeethub
JobsCompaniesBlog
Go to dashboard

Leethub

Curated tech jobs from FAANG and top companies worldwide.

Top Companies

  • Google Jobs
  • Meta Jobs
  • Amazon Jobs
  • Apple Jobs
  • Netflix Jobs
  • All Companies →

Job Categories

  • Software Engineering
  • Data, AI & Machine Learning
  • Product Management
  • Design & User Experience
  • Operations & Strategy
  • Remote Jobs
  • All Categories →

Browse by Type

  • Remote Jobs
  • Hybrid Jobs
  • Senior Positions
  • Entry Level
  • All Jobs →

Resources

  • Google Interview Guide
  • Salary Guide 2025
  • Salary Negotiation
  • LeetCode Study Plan
  • All Articles →

Company

  • Dashboard
  • Privacy Policy
  • Contact Us
© 2026 Leethub LLC. All rights reserved.
Home›Jobs›Amazon›Business Intelligence Engineer, Prime Video Growth and Commerce Analytics
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

🌐 Website💼 LinkedIn𝕏 TwitterAll 94953 jobs →
Amazon

Business Intelligence Engineer, Prime Video Growth and Commerce Analytics

Amazon • London, England, GBR

Posted 4 months ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 London
Apply Now →

Job 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
o Collect, analyze and present actionable data for Prime Video Channels Business
o Understand high-level business objectives and continually align work with those objectives to meet needs of the business
o Analyze and solve problems at their root, stepping back to understand the broader context
o Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
o Write high quality code to retrieve and analyze data
o Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use, and which not to use
- 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- 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 (https://www.amazon.jobs/en/privacy_page) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Amazon.

Apply Now →Get Job Alerts