Business Intelligence Engineer, Core Shopping Analytics

Amazon is a global e-commerce and cloud computing company, known for its online retail platform and innovative technologies.
$89,600 - $185,000
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
3+ years of experience
E-Commerce · Enterprise SaaS
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Description For Business Intelligence Engineer, Core Shopping Analytics

Core Shopping (CS) Analytics turns disparate, raw data into actionable insights that improve every customer's ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the Navigation, Homepage, Inspire, App First, Detail Page, Cart, Checkout, Add-to-Cart, and Address experiences.

Key job responsibilities:

  • Be the Analytics subject matter expert on a Core Shopping experience
  • Own core datasets to understand how customers use the experience
  • Collaborate with Product Managers and Engineers to develop a framework for understanding experience levers
  • Deliver in-depth analysis and recommendations to drive the product roadmap
  • Drive adoption of your dataset and mental model across the Consumer organization
  • Collaborate with a 10+ team of BIEs, DEs, and DSs to improve the end-to-end shopping experience

A day in the life:

  • Work in 5-week Sprints (1 week planning, 4 weeks execution)
  • Participate in regular stand-ups and mid-sprint demos
  • Projects vary among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers

About the team:

  • Empower 500+ Builders directly and 100+ unique partner teams
  • Provide 'Source of Truth' datasets, self-service dashboards/gits, scheduled reports, and custom metrics
  • Support new experiences end-to-end from logging to reporting/self-service
  • Continue maturing foundational service offerings

This role offers an opportunity to work with large-scale data and make a significant impact on Amazon's core shopping experience.

Last updated 7 months ago

Responsibilities For Business Intelligence Engineer, Core Shopping Analytics

  • Own core datasets to understand customer experience
  • Develop framework to understand experience levers
  • Deliver in-depth analysis and recommendations
  • Drive adoption of datasets and mental models
  • Collaborate with cross-functional teams
  • 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
  • Scripting experience (Python) to process data for modeling

Benefits For Business Intelligence Engineer, Core Shopping Analytics

Medical Insurance
  • Medical Insurance
  • Financial Benefits

Interested in this job?