Business Intelligence Engineer, Denied Party Screening

Amazon • Seattle, WA

10d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed