Business Intelligence Engineer, Amazon Advertising, Ads Finance Job at Amazon.com Services LLC, New York, NY

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  • Amazon.com Services LLC
  • New York, NY

Job Description

DESCRIPTION

Unlock the Power of Data to Transform Advertising Insights

We're seeking a brilliant Business Intelligence Engineer to be the analytical powerhouse behind Amazon Advertising's strategic decision-making. In this pivotal role, you'll transform complex data into compelling stories that drive product innovation and business growth.

Key job responsibilities

- Develop comprehensive business intelligence solutions that translate complex data into strategic insights
- Design and implement robust data pipelines and visualization tools that drive business decisions
- Create secure, scalable code that automates data processing and analysis
- Conduct advanced statistical analyses to uncover meaningful business trends
- Collaborate across teams to refine and evolve our data infrastructure and reporting mechanisms

A day in the life
Your day will be a dynamic blend of data exploration and strategic storytelling. You'll dive deep into massive datasets, uncovering hidden patterns and translating intricate business challenges into clear, actionable insights. From designing sophisticated data pipelines to creating compelling visualizations, you'll be the bridge between raw data and strategic decision-making.

About the team
Our Advertising Finance team is a collaborative powerhouse of innovators. We work closely with product managers, engineers, and leadership to shape the future of digital advertising. Our mission is to generate insights that not only measure performance but fundamentally transform how we understand and optimize advertising ecosystems.

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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience applying basic statistical methods (e.g. regression) to difficult business problems

Job Tags

Full time,

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