Business Intelligence Engineer, Denied Party Screening

Job  |  Services LLC

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 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 Quick Sight 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.

- 5+ years of analyzing and interpreting data with Redshift, Oracle, No

SQL etc. experience

- Experience with data visualization using…