Business Intelligence Engineer, Trustworthy Shopping Experience
Business Intelligence Engineer, Trustworthy Shopping Experience
Posted on :
05-05-2025
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1 Vacancy
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Job Description
The Trustworthy Shopping Experience team is looking for a Business Intelligence Engineer to help us protect our customers from defective dangerous products and guarantee them a worryfree shopping experience. Are you a selfstarter who is comfortable handling complex data sets and working through ambiguity If so this role is for you!
Key job responsibilities
As a Business Intelligence Engineer in the Trustworthy Shopping Experience team you will support our goal to be the most customercentric company on Earth. To get there we need exceptionally talented bright and driven people.
In this role you will use your passion for data to generate actionable insights through the development of metrics dashboards and deep dive analyses. You will track existing and emerging abuse vectors generate actionable insights define and implement new initiatives and quantify our progress using metrics. You dive into the details of the business metrics and provide insight within the team to assess prevent and predict ecommerce risk. You will collaborate with partner teams to define metrics to measure the success of our processes and initiatives develop scalable reporting solutions and provide objective and tangible data that allows the team to identify improvement areas make informed decisions and monitor efficiency of our policies and strategies. You will do this in partnership with other Amazon teams including program product and partner data teams across the world hence crossteam coordination and collaboration skills are essential.
A day in the life
You track and publish our business metrics partner with the internal program teams to identify rootcauses of spikes or plummets in key metrics while carrying on midterm to longterm projects to improve our policies processes and tools and communicating with data science/engineering teams.
About the team
Inclusive Team Culture
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employeeled affinity groups reaching tens of thousands at chapters across the globe. We have innovative benefit offerings and host annual and ongoing learning experiences including our AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
Work/Life Harmony
Our team puts a high value on worklife harmony. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We encourage and empower you to find your own balance between your work and personal lives.
1. Degree in Computer Science Mathematics Statistics Finance or related field
2. Knowledge of at least one programming language (Python R Java C Haskell or similar)
3. Experience in Microsoft Excel and querying data sets using SQL
4. Fluency in written and spoken English
1. Team player with the ability to collaborate in a diverse team including other geographic locations and cultures
2. Effective verbal and written communication skills
3. Advanced Degree in Computer Science Mathematics Statistics Finance or related field
4. Practical experience in data analysis such as data warehousing regression modelling forecasting data mining
5. Familiarity with AWS services such as S3 Redshift EMR Athena etc.
6. Experience with Machine Learning
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
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.
Key job responsibilities
As a Business Intelligence Engineer in the Trustworthy Shopping Experience team you will support our goal to be the most customercentric company on Earth. To get there we need exceptionally talented bright and driven people.
In this role you will use your passion for data to generate actionable insights through the development of metrics dashboards and deep dive analyses. You will track existing and emerging abuse vectors generate actionable insights define and implement new initiatives and quantify our progress using metrics. You dive into the details of the business metrics and provide insight within the team to assess prevent and predict ecommerce risk. You will collaborate with partner teams to define metrics to measure the success of our processes and initiatives develop scalable reporting solutions and provide objective and tangible data that allows the team to identify improvement areas make informed decisions and monitor efficiency of our policies and strategies. You will do this in partnership with other Amazon teams including program product and partner data teams across the world hence crossteam coordination and collaboration skills are essential.
A day in the life
You track and publish our business metrics partner with the internal program teams to identify rootcauses of spikes or plummets in key metrics while carrying on midterm to longterm projects to improve our policies processes and tools and communicating with data science/engineering teams.
About the team
Inclusive Team Culture
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employeeled affinity groups reaching tens of thousands at chapters across the globe. We have innovative benefit offerings and host annual and ongoing learning experiences including our AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
Work/Life Harmony
Our team puts a high value on worklife harmony. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We encourage and empower you to find your own balance between your work and personal lives.
1. Degree in Computer Science Mathematics Statistics Finance or related field
2. Knowledge of at least one programming language (Python R Java C Haskell or similar)
3. Experience in Microsoft Excel and querying data sets using SQL
4. Fluency in written and spoken English
1. Team player with the ability to collaborate in a diverse team including other geographic locations and cultures
2. Effective verbal and written communication skills
3. Advanced Degree in Computer Science Mathematics Statistics Finance or related field
4. Practical experience in data analysis such as data warehousing regression modelling forecasting data mining
5. Familiarity with AWS services such as S3 Redshift EMR Athena etc.
6. Experience with Machine Learning
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
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.
Employment Type
Full-Time
Key Skills
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