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Business Intelligence Engineer, Denied Party ScreeningAmazon • Seattle, Washington, United States
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Business Intelligence Engineer, Denied Party Screening

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
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Über

Description 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.
Key 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 ever‑changing environment.
Basic Qualifications
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
Preferred Qualifications
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 large‑scale, complex datasets
Equal Opportunity Employment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Benefits and Compensation Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Base salary range: USA, TX, Dallas - 99,500.00 - 160,000.00 USD annually; USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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