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Business Intelligence Engineer, Core Shopping Analytics

Global technology and e-commerce company that operates the world's largest online marketplace and cloud computing platform.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, Core Shopping Analytics

Core Shopping (CS) Analytics is a crucial team at Amazon that transforms raw data into actionable insights to enhance customer experience across the Amazon store. The team is responsible for analytics covering Homepage, Navigation, Reviews, Detail Page, List, App First, and Cross-Store experiences.

As a Business Intelligence Engineer, you'll be at the forefront of improving how customers discover, find, and evaluate items across the Store. Working in 5-week Sprints, you'll collaborate with Product Managers and Engineers to develop frameworks that drive better customer experiences. Your role involves owning core datasets, conducting in-depth analysis, and making recommendations that generate business value.

The team currently supports 500+ Builders and 100+ partner teams through 'Source of Truth' datasets, self-service dashboards, scheduled reports, and custom metrics. In 2024, they've expanded their capabilities to support new experiences and mature their foundational service offerings.

This is an excellent opportunity for a data-driven professional who wants to make a direct impact on Amazon's customer experience. You'll work with large-scale datasets, use advanced analytics tools, and collaborate with cross-functional teams to drive improvements in the shopping journey. The role offers competitive compensation, comprehensive benefits, and the chance to work with cutting-edge technology at one of the world's leading tech companies.

Last updated 2 days ago

Responsibilities For Business Intelligence Engineer, Core Shopping Analytics

  • Own core datasets to understand how customers use experience features
  • Develop framework to understand levers that drive better experience
  • Deliver in-depth analysis and recommendations to drive product roadmap
  • Drive adoption of dataset and mental model across Consumer organization
  • Collaborate with BIEs, DEs and DSs to improve end-to-end shopping experience

Requirements For Business Intelligence Engineer, Core Shopping Analytics

Python
  • 3+ 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 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

Benefits For Business Intelligence Engineer, Core Shopping Analytics

Medical Insurance
401k
  • Full range of medical benefits
  • Financial benefits
  • Total compensation package including equity and sign-on payments

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