Snr Business Intelligence Eng., Amazon Autos

Amazon; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a Senior Business Intelligence Engineer to lead data-driven decision-making in the automotive retail sector. This role offers a unique opportunity to architect scalable data solutions and develop critical metrics that will influence business growth and customer satisfaction. You'll collaborate with leadership and cross-functional teams to build intuitive analytics tools and reporting solutions, shaping the future of how customers discover and purchase vehicles online. If you're passionate about data architecture and eager to make a significant impact in a transformative business, this role is for you.

Qualifications

• 10+ years of professional experience, including 5+ years of SQL experience.
• Experience in scripting for automation and advanced SQL skills.

Responsibilities

• Architect scalable data solutions for critical business decisions.
• Develop key metrics and create executive-level dashboards.

Skills

SQL

Data Analysis

Python

Data Mining

Machine Learning

Statistical Analysis

Tools

AWS

R

Ruby

Job description

Snr Business Intelligence Eng., Amazon Autos

Job ID: 2919479 | Amazon Advertising LLC

Help shape the future of Automotive Retail at Amazon! We're seeking a passionate and innovative Senior 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:

1. Architect and build scalable data solutions that power critical business decisions
2. Partner with leadership to identify key metrics and create executive-level dashboards
3. Lead the development of sophisticated analytics tools and self-service reporting platforms
4. Uncover game-changing insights that drive product innovation and customer experience
5. Mentor team members and champion data-driven culture across the organization

This is a builder's role where you'll have the rare opportunity to shape a nascent business from the ground up. 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

1. Data Strategy & Architecture
   Design and implement analytics architecture that bridges BI and data science capabilities.
2. Analytics & Insights Leadership
   Develop key metrics that drive business growth and customer satisfaction.
3. Technical Innovation
   Build intuitive self-service analytics tools and automated reporting solutions.
4. Cross-Functional Impact
   Partner with product, engineering, and business teams to drive data-driven decisions.

This role is critical in building the analytics foundation for Amazon's automotive business, combining technical expertise with strategic thinking to drive business growth.

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

1. 10+ years of professional or military experience
2. 5+ years of SQL experience
3. Experience in scripting for automation (e.g. Python) and advanced SQL skills.
4. Experience programming to extract, transform and clean large (multi-TB) data sets
5. Experience with theory and practice of information retrieval, data science, machine learning and data mining
6. Experience managing, analyzing and communicating results to senior leadership
7. Experience with theory and practice of design of experiments and statistical analysis of results

PREFERRED QUALIFICATIONS

1. Experience with AWS technologies
2. Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

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.