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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

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

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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.