Paid Data Analytics Intern | Real-World Impact & Mentorship

DriveTime Sales and Finance Company, LLC

United States

Remote

USD 25,000 - 30,000

Full time

4 days ago
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Benefits offered by this job

Paid internship
Hands-on experience
Mentorship by professionals
Office locations Tempe, AZ and Dallas,

Job summary

DriveTime Family of Brands is seeking Data Analytics Interns for Summer 2027. This paid internship offers hands-on projects across Credit Risk, Loan Servicing, Marketing, Supply Chain, Retail, and SilverRock Analytics.

Expected to work on-site in Tempe, AZ or Dallas, TX for 11 weeks (May 2027–August 2027) with 40 hours per week and mentorship from industry professionals. Applicants should be pursuing a quantitative degree with a GPA of 3.5+ and have working knowledge of SQL, Python, Tableau and

Qualifications

  • Pursuing a quantitative degree in Analytics or related field.
  • GPA 3.5 or higher and strong data analysis mindset.
  • Experience with data analysis and visualization tools preferred.

Responsibilities

  • Conduct data analysis to generate meaningful insights from data sets.
  • Brainstorm ideas and provide creative solutions to challenges in data analysis.
  • Participate in all phases of the analytic lifecycle from research design to deployment.
  • Innovate products and services using data to improve customer experience and profitability.
  • Provide ad hoc analysis and support special projects as required.

Skills

SQL
Python
Tableau
Excel

Education

Quantitative degree
GPA 3.5+

Job description

DriveTime Family of Brands is seeking Data Analytics Interns for Summer 2027. This paid internship offers hands-on projects across Credit Risk, Loan Servicing, Marketing, Supply Chain, Retail, and SilverRock Analytics.

Expected to work on-site in Tempe, AZ or Dallas, TX for 11 weeks (May 2027–August 2027) with 40 hours per week and mentorship from industry professionals. Applicants should be pursuing a quantitative degree with a GPA of 3.5+ and have working knowledge of SQL, Python, Tableau and

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