Business Intelligence Engineer, Amazon Autos

Help shape the future of Automotive Retail at Amazon! We're seeking a passionate and innovative Business Intelligence Engineer to drive data-powered decision making for one of Amazon's most exciting new ventures. As we revolutionize the car-buying experience, you'll be at the forefront of transforming complex data into actionable insights that influence strategic direction and accelerate growth.

In this role, you'll:
- Architect and build scalable data solutions that power critical business decisions
- Lead the development of sophisticated analytics tools and self-service reporting platforms
- Uncover game-changing insights that drive product innovation and customer experience

Your work will directly impact how millions of customers discover, research, and purchase vehicles through Amazon's platform. If you're energized by solving complex problems, passionate about data architecture, and ready to make your mark on a transformative business, we want to talk to you!

Key job responsibilities
# Technical Innovation

- Build intuitive self-service analytics tools and automated reporting solutions
- Establish best practices for data modeling, visualization, and analysis
- Collaborate with data science teams to integrate predictive models into BI solutions

# Cross-Functional Impact

- Partner with product, engineering, and business teams to drive data-driven decisions
- Present complex analyses to senior leadership in clear, actionable terms

# Analytics & Insights Leadership

- Develop key metrics that drive business growth and customer satisfaction
- Uncover actionable insights to inform product strategy and customer experience

About the team
Our newly formed team is on a mission to revolutionize how customers discover and shop for vehicles online, combining Amazon's customer-first approach with innovative automotive retail solutions. Join us in building this transformative business from the ground up.

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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.