Business Intelligence Engineer, Core Shopping Analytics

Amazon; Seattle (WA); On-site; USD 89,000 - 185,000; Full time

Job summary

Amazon seeks a Business Intelligence Engineer for its Core Shopping Analytics team. This role involves transforming raw data into insights that enhance customer experience. Candidates must have a strong background in data analysis, visualization, and AWS solutions. A collaborative environment awaits where you'll influence product strategies and improve shopping journeys.

Benefits

Full range of medical benefits

Equity and sign-on payments

Flexible workplace accommodations

Qualifications

• 3+ years experience in analyzing and interpreting data.
• Familiar with AWS solutions and statistical analysis packages.
• Experience with ETL pipelines and scripting for data processing.

Responsibilities

• Own core datasets and provide actionable insights to improve customer experience.
• Collaborate with product teams to inform the product roadmap.
• Deliver in-depth analysis and recommendations that drive business value.

Skills

Data Analysis

Data Visualization

Data Modeling

Statistical Analysis

SQL

Python

Tools

Tableau

Quicksight

AWS

Redshift

Oracle

NoSQL

Job description

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 Homepage, Navigation, Reviews, Detail Page, List, App First, and Cross-Store experiences.

Key job responsibilities
You are an Analytics subject matter expert, helping customers discover, find, and evaluate items across the Store. You will own the core datasets to understand how customers use your experience's features. Collaborating with Product Managers and Engineers, you will develop a framework to understand the levers that drive a better experience. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization. Lastly, you will collaborate with a 10+ team of BIEs, DEs and DSs to understand how your experience fits into the broader shopping journey to improve the end-to-end shopping experience.

A day in the life
We build in 5-week Sprints with 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers.

About the team
Today, we empower 500+ Builders directly and 100+ unique partner teams via our ‘Source of Truth’ datasets, self-service dashboards/gits, scheduled reports, and custom metrics consumed for cross-store evaluation. In 2024, we supported new experiences end-to-end from logging to reporting/self-service and continued maturing our foundational service offerings to enable more bandwidth for insight generation.

- 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

- 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 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.