Business Intelligence Engineer Core Shopping Analytics
Business Intelligence Engineer Core Shopping Analytics
Posted on :
19-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 89600 - 185000
Vacancy
1 Vacancy
Posted on :
19-04-2025
Job Description
Core Shopping (CS) Analytics turns disparate raw data into actionable insights that improve every customers ability to securely discover evaluate and purchase products and services across the Amazon store. We own the analytics for the Navigation Homepage App First Detail Page and Community Reviews.
Key job responsibilities
You are an Analytics subject matter expert for the Buying Experience team presenting the best and most relevant offer evaluation information for every customers shopping mission. You will own the core datasets to understand how customers engage with core features on Detail Page to evaluate an offer. You will develop a framework to understand the levers that drive a successful experience and build automated reporting with actionable insights for stakeholders to improve it. You will deliver indepth analysis and recommendations to drive the product roadmap generating incremental business value. You will partner with Science teams to improve relevance. As the chief evangelist you will drive adoption of your dataset and mental model across the Consumer organization.
A day in the life
We build in 5week Sprints with 1 week for planning and 4 weeks for . Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a selfdirected Learning Day. Over the 4 Weeks we have regular standups and a midsprint 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 selfservice dashboards/gits scheduled reports and custom metrics consumed for crossstore evaluation. In 2024 we supported new experiences endtoend from logging to reporting/selfservice and continued maturing our foundational service offerings to enable more bandwidth for insight generation.
Experience with data modeling warehousing and building ETL pipelines
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience writing complex SQL queries
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 largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
You are an Analytics subject matter expert for the Buying Experience team presenting the best and most relevant offer evaluation information for every customers shopping mission. You will own the core datasets to understand how customers engage with core features on Detail Page to evaluate an offer. You will develop a framework to understand the levers that drive a successful experience and build automated reporting with actionable insights for stakeholders to improve it. You will deliver indepth analysis and recommendations to drive the product roadmap generating incremental business value. You will partner with Science teams to improve relevance. As the chief evangelist you will drive adoption of your dataset and mental model across the Consumer organization.
A day in the life
We build in 5week Sprints with 1 week for planning and 4 weeks for . Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a selfdirected Learning Day. Over the 4 Weeks we have regular standups and a midsprint 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 selfservice dashboards/gits scheduled reports and custom metrics consumed for crossstore evaluation. In 2024 we supported new experiences endtoend from logging to reporting/selfservice and continued maturing our foundational service offerings to enable more bandwidth for insight generation.
Experience with data modeling warehousing and building ETL pipelines
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience writing complex SQL queries
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 largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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