Business intelligence engineer, Traffic Quality, Amazon Ads

Amazon; Seattle (WA); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Business Intelligence Engineer for Traffic Quality Analytics. This role involves analyzing ad traffic validity, implementing data quality measures, and collaborating with scientists to optimize data processes. The ideal candidate will have extensive experience in data analysis, visualization, and statistical modeling, and will play a key role in providing actionable insights to senior leadership.

Qualifications

• 3+ years of experience analyzing and interpreting data.
• Experience with data modeling, warehousing, and building ETL pipelines.

Responsibilities

• Design and implement scalable information models for data processing.
• Automate processes to enable self-service for team members.
• Perform exploratory data analysis and apply statistical techniques.

Skills

Data Analysis

Statistical Analysis

Data Visualization

Tools

SQL

Python

Tableau

Quicksight

Redshift

Oracle

NoSQL

R

SAS

Matlab

Job description

Business intelligence engineer, Traffic Quality, Amazon Ads

Advertising at Amazon is a fast-growing, multi-billion dollar business. It spans desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across the US, EU, APAC, and an increasing number of international geographies.

The Supply Quality (SQ) group operates across all Amazon Advertising products to provide invalid traffic (IVT) filtration, viewability prediction and measurement, and content adjacency policy enforcement capabilities. Within SQ, Traffic Quality (TQ) concerns itself with the validity of ad traffic i.e. if the ad event (bid, impression or click) is generated from a human user or bot (invalid) and the TQ Analytics team focuses on building key metrics and reporting, root cause analysis and critical stakeholder communications on changing trends and patterns for this area. The TQ Analytics team also focuses on building heuristic based models and techniques to address IVT and ad fraud.

As a Business Intelligence Engineer (BIE) for TQ Analytics, you will play a thought leadership role in defining interventions that help achieve business objectives. You are right, a lot. You are independent, able to work on multiple related projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyse statistical models that detect and filter IVT.


Key job responsibilities

* Design, implement and support a scalable and reliable information model for storing, processing, analyzing and reporting on data across Amazon properties and partners.
* Define and implement data quality guardrails and monitoring mechanisms as the custodian of data quality
* Compose and present measurable and actionable insights into complex business problems to senior leadership.
* Automate with every iteration to enable self service by others on the team and to continuously expand on your ability to dive deep.
* Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT.
* Define and implement metrics that continuously evaluate models.
* Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.


The role has a significant analytical requirements with potential to apply statistical and ML techniques.

BASIC QUALIFICATIONS

- 3+ 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.

Posted: December 16, 2024 (Updated about 1 hour ago)

Posted: February 20, 2025 (Updated about 2 hours ago)

Posted: February 13, 2025 (Updated about 3 hours ago)

Posted: May 12, 2025 (Updated about 6 hours ago)

Posted: May 12, 2025 (Updated about 8 hours ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.