Analytics Lead, Quantitative Marketing

Carvana•Tempe, AZ

1d•Onsite

About The Position

At Carvana, we’re changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we’re just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical. Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you’ll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you’re driven to grow and make an impact as part of a collaborative team, you’ll fit right in. Learn more about what it’s like to work here from the people that already do . Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team and position Carvana’s Marketplace division powers our B2B offerings, including our $2B Sell to Carvana and Carvana Wholesale businesses, plus our ADESA auctions. We’re looking for a strategic and analytical leader who blends data-driven rigor with sharp intuition to grow buyer demand and retention in these spaces. In this role, you’ll design and scale digital marketing and engagement across web, app, email, SMS, and push using cutting-edge technology. Your work will directly impact wholesale business metrics by making it easier — and more trusted — for customers to engage and transact. You’ll work in a collaborative, fast-moving environment, turning high-level business opportunities into solutions to launch, test, and scale quickly.

Requirements

Undergraduate degree in Statistics, Economics, Math, Econometrics, Analytics, or similar field with a strong academic record; graduate degree preferred.
Experience using SQL and a visualization tool such as Looker, Tableau, or other.
Experience at a high-growth or large-scale company.
Strong data skills and outcome-oriented decision making.
Ability to translate technical concepts for non-technical audiences.
Excellent communication and project management across cross-functional projects.
Experience with split-testing design and interpretation.
Curiosity, creativity, and a strong strategic problem solving sense - you know how to create strategic plans and you can back it up with data.
Hands-on mindset and a willingness to roll up your sleeves.
A collaborative, positive outlook with humility and humor.
Openness to feedback from all people and parts of the company.

Nice To Haves

Omni-channel product or marketing experience (web, mobile, email, push, SMS).
5+ years in product, growth marketing, or related fields.
Familiarity with AI/LLM tools for fast iteration on requirements and wireframes.
Knowledge of data science best practices.
E-commerce product or marketing experience.
Product strategy and roadmap planning experience.
Salesforce Marketing Cloud experience.

Responsibilities

Build automation in our marketing channels to drive consumer demand for the business.
Understand and optimize the precise mechanics and data underpinning each of our marketing channels, particularly the digital ones.
Analyze large data sets in SQL, Python or similar tools to actively monitor campaign performance and identify opportunities for top-line growth and/or efficiency gains.
Collaborate with the Brand and Data Science teams to ensure alignment with Carvana’s creative strategy and leverage our internal analytical capabilities.
Define and evangelize demand and retention strategy and objectives with product and ops leaders.
Create and execute the buyer roadmap with measurable quarter-over-quarter impact.
Run competitive analyses to place smart bets and out-innovate incumbents.
Review customer flows and redesign for an AI-first future.
Analyze user behaviors, run experiments, and size/prioritize opportunities that materially move metrics.
Write clear briefs and requirements that align teams on "what" and "why."
Regularly share performance and strategy updates with leadership and stakeholders.