Product Data Intern

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated Product Data Analyst Intern to join our fast-growing team. This is an excellent opportunity to gain hands-on experience and develop your analytical skills in a dynamic, fast-paced environment.

Working closely with product team leaders, you'll help define key metrics and performance objectives. You will be fundamental in supporting data initiatives across various departments. Your responsibilities will include writing SQL queries, contributing Python code, and generating charts and dashboards that help teams make data-driven decisions.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Coding assessment (~1.5 hours)
• Interview with recruiters (30 min)
• Verbal case study interview. Share how you approach new problems. A “How would you…” conversation
• Verbal behavioral interview. Share your problem-solving experience. A “Tell me about a time when you…” conversation

What you’ll Do:

• Support business teams by helping them understand their data needs and analytics priorities.
• Assist in creating analyses and reports to provide insights that help with growth strategies.
• Help stakeholders identify new opportunities by analyzing key data.
• Assist with creating, monitoring, and