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 to drive data insights for Core Shopping Analytics. The role involves collaborating with product managers and engineers to make data-driven decisions, optimize customer experience, and deliver impactful analyses. Candidates should have robust experience in data analysis, visualization, and statistical methods.

Qualifications

• 3+ years of analyzing and interpreting data.
• Experience with data visualization tools.
• Experience in statistical analysis packages.

Responsibilities

• Own core datasets to understand customer usage.
• Develop frameworks for better customer experience.
• Conduct in-depth analysis and provide recommendations.

Skills

Data Analysis

Data Visualization

Statistical Analysis

Data Modeling

ETL Pipelines

SQL

Python

Tools

Tableau

AWS

Job description

Business Intelligence Engineer, Core Shopping Analytics

Join to apply for the Business Intelligence Engineer, Core Shopping Analytics role at Amazon

Business Intelligence Engineer, Core Shopping Analytics

Join to apply for the Business Intelligence Engineer, Core Shopping Analytics role at Amazon

Get AI-powered advice on this job and more exclusive features.

Description

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.

Description

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.

Basic Qualifications

• 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
  
  

Preferred Qualifications

• 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.


Company - Amazon.com Services LLC

Job ID: A2993851

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Strategy/Planning, Analyst, and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Amazon by 2x

Get notified about new Business Intelligence Engineer jobs in Seattle, WA.

Dont see what you are looking for? Drop your resume here!

Seattle, WA $50,000.00-$65,000.00 3 days ago

Bellevue, WA $110,000.00-$130,000.00 1 day ago

Seattle, WA $236,000.00-$295,000.00 2 hours ago

Business Intelligence Engineer, Amazon Ads

Business Intelligence Engineer, Amazon Ads Sales Finance Analytics

Business Intelligence Engineer II, Amazon AIR

Seattle, WA $157,000.00-$223,000.00 1 day ago

Greater Seattle Area $80,000.00-$95,000.00 2 days ago

Software Developer-Artificial Intelligent/Machine Learning

Business Intelligence Engineer, AWS People Analytics

Business Intelligence Engineer II, Applied AI Solutions

Business Intelligence Engineer, Amazon Publisher Monetization, Analytics

Business Intelligence Engineer, Community Engagement

Medina, WA $70,000.00-$90,000.00 1 day ago

Sr. Business Intelligence Engineer, Measurement, Ad Tech, and Data Science (MADS)

Business Intelligence Engineer , WW Ops Finance S&A

Business Intelligence Engineer, Supply Chain Strategic Programs

Seattle, WA $124,800.00-$234,000.00 1 day ago

Sr. Business Intelligence Engineer, Customer Service Technology

Senior ML Engineer, Applied Machine Learning

Seattle, WA $117,498.00-$164,497.20 47 minutes ago

Housing Data Analyst – Mapping and Visualization

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.