Analytics Intern 2025 (Hybrid)
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
As an Analytics Intern, you’ll immerse yourself in the Analytics department and get a unique experience by working on real projects that impact our day-to-day business and production. We are problem-solvers, self-directors and action-oriented thinkers so you’ll be expected to hit the ground running and own your projects, with guidance from your manager and teammates. You’ll be placed on either or Portfolio or Business Forecasting Analytics teams and, while that will be your primary team for the summer, you’ll gain exposure to and work with the other groups throughout your internship so you leave Enova with a strong understanding of what we do and what you’d like to focus on post-graduation. When you’re not performing your Analytics responsibilities you’ll be having fun, learning professional skills and networking with the rest of Enova.
Dates: June 17th - August 22nd
Responsibilities:
- Learn the technologies, strategies and analytic techniques we use here at Enova
- Develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures
- Conduct ad hoc analysis using statistical and financial tools to recommend risk management, marketing and operational strategies
- Work with senior management to develop key performance indicators (KPI's) to ensure that our products are performing optimally
- Present on your project findings and results to key executives and the department at the conclusion of your internship
Requirements:
- Working towards a Bachelor's degree, Master's or PhD in a related field of study with a planned graduation of Winter 2025 or Spring 2026
- Advanced programming ability to write customized code for meaningful data analysis in at least one programming language
- Working knowledge of SQL
- Proficiency in spreadsheet applications and advanced use of statistical applications and databases
- Experience communicating technical concepts to a non-technical audience