Business Intelligence Engineer, Special Projects & Investigations
Amazon.com
Amazon's Selling Partner Risk organization is seeking an exceptional Business Intelligence Engineer to build and scale our bad actor detection, analysis, and prevention efforts by creating and maintaining robust ETL pipelines, tables, features, and dashboards. We work internally and partner closely with external teams to build and provide better solutions for uses across our organization.
This role plays a crucial role in transforming our business problems into functional and useful data sets that are used for a wide variety of MOs that quickly shift and adapt as the business improves.
As a Business Intelligence Engineer, you will be in the midst of efforts to wrangle big data together, pare it down, and drive meaningful changes in the business of fraud, risk, and abuse. We aren't interested in building for the sake of building. Every solution we implement is designed to thwart bad actors from being successful and causing harm on the store. Help us find bad actors that absolutely do not want to be found.
Top candidates for this role will have excellent SQL, excel, Strong ETL creation/optimization skills, and communication skills with the ability to take business problems and translate them into data solutions with speed, precision, and accuracy. Experience with python is a plus, but not required. A natural curiosity and an ability to understand a system, look for the vulnerabilities, and surface abusive accounts or actions in data is a very nice to have.
Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly solutions including ETLs, Tables, Queries, Analysis, and Dashboards - additionally, top candidates will have familiarity with anomaly detection and alerting mechanisms.
About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
This role plays a crucial role in transforming our business problems into functional and useful data sets that are used for a wide variety of MOs that quickly shift and adapt as the business improves.
As a Business Intelligence Engineer, you will be in the midst of efforts to wrangle big data together, pare it down, and drive meaningful changes in the business of fraud, risk, and abuse. We aren't interested in building for the sake of building. Every solution we implement is designed to thwart bad actors from being successful and causing harm on the store. Help us find bad actors that absolutely do not want to be found.
Top candidates for this role will have excellent SQL, excel, Strong ETL creation/optimization skills, and communication skills with the ability to take business problems and translate them into data solutions with speed, precision, and accuracy. Experience with python is a plus, but not required. A natural curiosity and an ability to understand a system, look for the vulnerabilities, and surface abusive accounts or actions in data is a very nice to have.
Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly solutions including ETLs, Tables, Queries, Analysis, and Dashboards - additionally, top candidates will have familiarity with anomaly detection and alerting mechanisms.
About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
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