Data Analytics Intern

Join Team CARFAX as a Data Analytics Intern

 Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. One last thing: Our four-day week continues in Summer 2025!


As a Data Analytics Intern, you will help us build on our successful internship program and:

• Gain a thorough understanding of how CARFAX works, both internally and from our customers’ perspective.
• Support multiple projects and analyses throughout the Business Development and data teams, such as enhancing automotive data products, conducting data coverage analyses, and reviewing consumer/dealer ecosystems.
• Assist team members with projects and other various tasks as assigned.
• Review data for quality and accuracy, correcting any errors you find.
• Perform research and data analysis, pulling information from multiple sources, identifying patterns, and summarizing findings.
• Build upon current tools and processes to identify and research opportunities for improvement.

 
At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 4 days per week in our Centreville, VA office, subject to change with future business needs.

Requirements: 

• Pursuit of a Bachelor's degree in a business or technical major at an accredited university.
• Sound time management and organization skills.
• Proficient in Microsoft Office, with advanced knowledge of Excel. Knowledge of R, Python and data visualization tools is preferred.
• A willingness to jump in, learn, and lend a hand; an outstanding work ethic (timeliness, responsiveness, etc.).

Desired Qualifications: 

• Passionate about solving problems, turning information into insights, and resourcefulness.
• Intellectually curious – challenge assumptions, question the status quo, desire to understand the underlying dynamics beneath a trend.
• Excellent analytical and communication skills, with the ability to articulate complex data analysis into an easily understandable summary.
• Experience with analytical platforms and query languages.