Business Intelligence Engineer, Ads Marketing Decision Science

Amazon Ads operates at the intersection of e-commerce and advertising, offering digital advertising solutions to help customers find and discover products.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, Ads Marketing Decision Science

Amazon Ads is seeking a Business Intelligence Engineer to join their team at the intersection of e-commerce and advertising. This role offers an opportunity to work with large-scale data and drive key business decisions through analytics. You'll be responsible for designing and maintaining datasets, creating impactful visualizations, and developing automated reporting solutions that directly influence the success of Amazon's advertising platform.

The position requires strong technical expertise in data analysis, ETL processes, and visualization tools. You'll work with cutting-edge technologies and have the opportunity to mentor team members while promoting best practices in data engineering. The role combines technical skills with business acumen, as you'll be interpreting complex datasets to provide actionable insights for the Ads Marketing team.

Amazon offers a competitive compensation package ranging from $89,600 to $185,000 based on location and experience, plus comprehensive benefits. This is an excellent opportunity for data professionals who want to make an impact at scale, working with one of the world's largest e-commerce and advertising platforms. The role is available in major tech hubs including NYC, Seattle, and Santa Monica, offering flexibility in location while working with global teams.

The ideal candidate will have 3+ years of experience with data analysis, strong SQL and Python skills, and experience with visualization tools like Tableau or Quicksight. You'll be joining a rapidly growing team focused on building world-class advertising products with a customer-centric approach, making this an exciting opportunity for career growth and impact.

Last updated 20 hours ago

Responsibilities For Business Intelligence Engineer, Ads Marketing Decision Science

  • Own the design, development, and maintenance of datasets, metrics, analyses and dashboards
  • Develop queries and visualizations for ad-hoc requests and projects
  • Improve reporting and analysis processes, automating self-service support
  • Use analytical and statistical rigor to identify performance gaps and optimization opportunities
  • Support central BI team in reporting on global marketing efforts
  • Promote best practices in ETL and mentor team members

Requirements For Business Intelligence Engineer, Ads Marketing Decision Science

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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 and Python for data processing and modeling

Benefits For Business Intelligence Engineer, Ads Marketing Decision Science

Medical Insurance
Vision Insurance
Dental Insurance
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance

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