Business Intelligence Engineer, Denied Party Screening ID-24952
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.Other Jobs You May Be Interested In
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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 you'll own everything from ad-hoc reporting to long term analytical and statistical projects that will affect the effectiveness of the DPS team. You'll work with multiple Amazon Businesses and Functions, work with multiple data sources and a wide range of data technologies (e.g. Redshift,S3,Tableau,Quicksight 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 ever-changing 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 Amazon’s products and services.
Work/Life Balance
We value work-life 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, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
