Amazon.com Services LLC

Business Intelligence, Business Intel Engineer, amazon security

BusinessIntelligenceEngineer,DeniedPartyScreening

$100–160k Dallas, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Business Intelligence Engineer, Denied Party Screening at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Data Analysis. Interface with business customers. Gather requirements”

What You'll Achieve.

Increase visibility into key measures of business performance

Industry & Context.

Business Intelligence, Business Intel Engineer, amazon security
Problems you'll solve

Solve complex challenges; Find root causes behind variances; Drive business insights

What They're Looking For.

Must Have

5+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python

Nice to Have

Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases

What You'll Do.

Interface with business customers

Drive reporting projects

Drive analytic projects

Analyze billions of rows of data

Find root causes behind variances

Drive business insights

Investigate new big data technologies

Implement new big data technologies

How You'll Work.

Team & Collaboration

Cross functional teams; Multiple Amazon Businesses; Multiple Functions

Full Job 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. 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 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

Free ATS check

Applying for this Business Intelligence Engineer, Denied Party Screening role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon.com Services LLC?

Real rants from real employees. Read before you apply.

Read Company Rants →