Business Intelligence Engineer Denied Party Screening
Business Intelligence Engineer Denied Party Screening
Posted on :
13-04-2025
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1 Vacancy
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Job Description
We are open to hiring candidates to work out of one of the following locations:
Seattle WA USA
Amazon seeks an experienced Business Intelligence Engineer (BIE) to join the Deny Party Screening (DPS) team. Our mission is to prevent denied parties from transacting with Amazon businesses including AWS customers vendors sellers subsidiaries etc. We build automatic mechanisms to detect and prevent prohibited transactions with the denied parties using a diverse set of algorithms and machine learning techniques. We screen over half a billion events every day integrate with Tier 1 systems and deal with unique scaling challenges. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Analytics powered detection and resolution systems to help scale Amazon for years to come.
In this role youll own everything from adhoc reporting to long term analytical and statistical projects that will affect the effectiveness of the DPS team. Youll work with multiple Amazon Businesses and Functions work with multiple data sources and a wide range of data technologies (e.g. RedshiftS3TableauQuicksight etc. stay abreast of emerging technologies investigate and implement where appropriate.
Key job responsibilities
Interface with business customers to gather requirements drive reporting or analytic projects to help solve complex challenges.
Design implement and support datasets that provide structured data for reporting and analysis.
Develop QuickSight dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
Analyze billions of rows of data to find the root causes behind variances and drive business insights.
Investigate and implement new big data technologies to provide automatic resolutions to address business needs.
Key job responsibilities
Key job responsibilities
Interface with business customers to gather requirements drive reporting or analytic projects to help solve complex challenges.
Design implement and support datasets that provide structured data for reporting and analysis.
Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
Analyze billions of rows of data to find the root causes behind variances and drive business insights.
Investigate and implement new big data technologies to provide automatic resolutions to address business needs.
A day in the life
The successful candidate will demonstrate good business acumen experience in developing reports and conducting analysis strong technical skills and communication skills an ability to work effectively cross functional teams and an ability to work in an everchanging environment.
About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing training and other careeradvancing resources here to help you develop into a betterrounded professional.
5 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
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.
Seattle WA USA
Amazon seeks an experienced Business Intelligence Engineer (BIE) to join the Deny Party Screening (DPS) team. Our mission is to prevent denied parties from transacting with Amazon businesses including AWS customers vendors sellers subsidiaries etc. We build automatic mechanisms to detect and prevent prohibited transactions with the denied parties using a diverse set of algorithms and machine learning techniques. We screen over half a billion events every day integrate with Tier 1 systems and deal with unique scaling challenges. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Analytics powered detection and resolution systems to help scale Amazon for years to come.
In this role youll own everything from adhoc reporting to long term analytical and statistical projects that will affect the effectiveness of the DPS team. Youll work with multiple Amazon Businesses and Functions work with multiple data sources and a wide range of data technologies (e.g. RedshiftS3TableauQuicksight etc. stay abreast of emerging technologies investigate and implement where appropriate.
Key job responsibilities
Interface with business customers to gather requirements drive reporting or analytic projects to help solve complex challenges.
Design implement and support datasets that provide structured data for reporting and analysis.
Develop QuickSight dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
Analyze billions of rows of data to find the root causes behind variances and drive business insights.
Investigate and implement new big data technologies to provide automatic resolutions to address business needs.
Key job responsibilities
Key job responsibilities
Interface with business customers to gather requirements drive reporting or analytic projects to help solve complex challenges.
Design implement and support datasets that provide structured data for reporting and analysis.
Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
Analyze billions of rows of data to find the root causes behind variances and drive business insights.
Investigate and implement new big data technologies to provide automatic resolutions to address business needs.
A day in the life
The successful candidate will demonstrate good business acumen experience in developing reports and conducting analysis strong technical skills and communication skills an ability to work effectively cross functional teams and an ability to work in an everchanging environment.
About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing training and other careeradvancing resources here to help you develop into a betterrounded professional.
5 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
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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