Business Intelligence Engineer, Ads Finance

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
$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 Finance

Amazon is seeking a Business Intelligence Engineer to join their Advertising business team, focusing specifically on Amazon Business Ads. This role represents a unique opportunity to drive data-driven decision-making in a high-growth environment. The position involves working with complex datasets to generate actionable insights that influence product and partner strategy. The successful candidate will be responsible for building out business insights, analysis practices, and data infrastructure for AB Ads stakeholders, gaining visibility across Ads, Retail, and Finance organizations.

The role requires strong technical, analytical, and business intelligence capabilities, combining hands-on data work with strategic thinking. You'll be working with various technologies including SQL, Python, and data visualization tools, while collaborating with cross-functional teams including Product Managers, Data Engineers, and senior leadership.

As part of the APM Advertising Finance team, you'll support various publishers including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, and Audio. The team's mission is to accelerate top-line revenue and improve profitability through data-driven insights and analysis.

The position offers competitive compensation ranging from $89,600 to $185,000 per year, depending on location and experience, plus comprehensive benefits. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to make a significant impact on Amazon's advertising business growth.

Last updated 4 hours ago

Responsibilities For Business Intelligence Engineer, Ads Finance

  • Explore and deep dive into new AB ads features to support business decision making and growth opportunities
  • Design, develop, build, and maintain scalable data solutions
  • Simplify and re-invent current data solutions to support business scope expansion
  • Translate business problems into data questions
  • Present analytical findings and recommendations to business leadership
  • Work cross-functionally with other teams
  • Recognize and adopt best practices in reporting/analysis

Requirements For Business Intelligence Engineer, Ads Finance

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 to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Benefits For Business Intelligence Engineer, Ads Finance

Medical Insurance
  • Medical Insurance
  • Financial Benefits

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