Strategy Analyst

About the role

This role translates complex data into clear strategic narratives that guide major business decisions in the automotive retail space. You will own the analysis behind how we allocate marketing dollars and optimize customer experiences on our digital platforms. The position requires deep collaboration with cross-functional partners to shape priorities and define success metrics for ongoing initiatives. You will design and run experiments that directly influence conversion rates and operational efficiency across our marketplace. The work involves exploring large scale data sets to uncover patterns that improve fraud detection and refine vehicle pricing strategies at auction. You will be entrusted with autonomy to develop insights and communicate recommendations to senior leadership stakeholders. Success in this role means taking ownership of the product analytics track that drives the evolution of our customer experience. You will help Carvana maintain its position as the fastest growing and most profitable public automotive retailer by enabling data informed decisions.

Key facts

What you'll do

• Translate raw data into consumable, actionable narratives while regularly consulting with stakeholders including senior leadership and sharing strategic recommendations.
• Partner closely with Product, Engineering, Strategic Partnerships, and Operations teams to assess performance metrics and identify high impact opportunities for improvement.
• Explore and segment complex data sets to uncover key behavioral drivers, then design and build models, dashboards, and visualizations that support product teams.
• Design rigorous split tests, interpret results with statistical rigor, and communicate the broader business implications to guide strategic direction.
• Take ownership of the product analytics track, enabling and empowering the constantly evolving customer experience that positions Carvana as a leader in the industry.
• Leverage strong SQL skills to manipulate large data sets in warehouse environments, ensuring accuracy and reliability in analytical outputs.
• Apply familiarity with Python or R to build analytical tools and models that surface trends and underlying performance drivers.
• Utilize experience in A/B testing or experimentation to evaluate product changes and quantify their effect on customer behavior and operational outcomes.
• Demonstrate excellence in implementation with attention to detail, strong organizational skills, and the ability to manage shifting priorities in a fast paced environment.
• Contribute to business strategy or consulting type analyses that evaluate market opportunities and support long term growth initiatives.
• Use prior experience in one or more areas such as statistical analysis, regression, or business strategy to solve nebulous questions about consumer decision making.
• Collaborate with strategic partnerships teams to assess performance and prioritize initiatives that deliver measurable value.
• Rely on strong comfort with navigating and manipulating large data sets to extract trends and drivers that inform key decisions.
• Bring enthusiasm and positive energy to contribute to and thrive in a rapidly growing start up atmosphere where roles continually adapt as the company evolves.

Requirements

• Hold a Bachelor's degree in Statistics, Economics, Math, Computer Science, Computational Math, Econometrics, Engineering, or a similar field from an accredited undergraduate institution.
• Possess 1 to 3 or more years of experience in analytics or quantitative practices specifically within data warehouse environments.
• Show strong comfort navigating and manipulating large data sets to identify meaningful trends and underlying performance drivers.
• Demonstrate familiarity with Python or R as a preferred skill for advanced analytical work.
• Maintain strong experience in SQL as a core requirement for data extraction, transformation, and manipulation.
• Have experience in at least one of these areas such as A/B testing or experimentation, business strategy or consulting, and statistical analysis using methods like regression.
• Exhibit the ability to thrive in a dynamic, fast paced environment where goals and deadlines change frequently.
• Prove demonstrated intellectual curiosity and a strong interest in solving ambiguous problems using data to answer complex questions about consumer behavior.
• Show excellence in implementation, including meticulous attention to detail and robust organizational skills.
• Bring enthusiasm and positive energy to contribute to and succeed in a rapidly growing start up atmosphere where roles evolve constantly as the company scales.
• Prior experience using Tableau or another visualization tool is considered a plus for this position.

Nice to have

The preferred qualifications listed in the source remain aligned with the requirements and do not introduce new criteria beyond what has already been stated.

Practical notes

The engagement type directs interested candidates to refer to the source for specific details regarding hours, travel expectations, visa sponsorship information, and application deadlines. No additional specifics are provided here beyond what is contained in the original source material.