Business Analytics Intern
About the role
Every sold car tells a story - and the right analytics reveal it. We're looking for a Deal Analytics Intern to help us turn data gathered during the car purchasing process into insights our stakeholders act on every day. This is an exciting opportunity to jumpstart your career alongside some of the sharpest analytics minds in the auto industry. Ready to take the first steps into a bright future this summer? Let's talk!
Responsibilities
- Identify and translate analytical results into insights and recommendations
- Perform data analysis and validation
- Build dashboards and reporting, and responsibly leverage AI tools to accelerate analytics tasks
- Build relationships and interact with cross-functional teams and key stakeholders
- Manage multiple projects and tasks simultaneously
- Complete a capstone project and present to a large audience
Qualifications
- Currently enrolled at an accredited university and pursuing a bachelor's in a related field
- Understanding of Excel and SQL; experience with Python, Tableau or Power BI is a plus but not expected
- Analytical mindset and a curiosity about exploring data to find new insights
- Desire to expand your AI literacy and the ability to responsibly leverage AI tools in analytics work
- Effective communicator with strong relationship-building and organizational skills
Benefits
- Hands-on experience working on meaningful and challenging projects, with the support of a dedicated team and an assigned program mentor
- Chance to develop your professional skills with real accountability and feedback
- In-office role where you'll collaborate daily with team members across the country
- Opportunity to meet and network with company leaders and expand your professional skillset
- Health care insurance (medical, dental, vision)
- Retirement planning (401(k))
- Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
Pay
USD 22.02 - 33.08 per hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program.