Sr. Business Intelligence Engineer, Core Shopping Analytics
Sr. Business Intelligence Engineer, Core Shopping Analytics
Posted on :
27-06-2025
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1 Vacancy
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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 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 experiences 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.
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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 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 $117300/year in our lowest geographic market up to $202800/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 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 helping customers discover find and evaluate items across the Store. You will own the core datasets to understand how customers use your experiences 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.
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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 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 $117300/year in our lowest geographic market up to $202800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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