Business Intelligence Engineer, Prime Video Growth and Commerce Analytics

Join to apply for the Business Intelligence Engineer, Prime Video Growth and Commerce Analytics role at myGwork - LGBTQ+ Business Community

Business Intelligence Engineer, Prime Video Growth and Commerce Analytics

2 days ago Be among the first 25 applicants

Join to apply for the Business Intelligence Engineer, Prime Video Growth and Commerce Analytics role at myGwork - LGBTQ+ Business Community

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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

oCollect, analyze and present actionable data for Prime Video Channels Business

oUnderstand high-level business objectives and continually align work with those objectives to meet needs of the business

oAnalyze and solve problems at their root, stepping back to understand the broader context

oRecognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

oWrite high quality code to retrieve and analyze data

oLearn 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
  
  

• 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
  
  

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Business Development and Sales

• Industries

  Technology, Information and Internet

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