Product Data Intern

Sezzle·Perujunior

In short

→Analista de datos de producto en etapa de internado, enfocado en SQL, Python y visualización.
→Día a día: crear informes, dashboards y análisis para decisiones basadas en datos con equipos de producto.
→Destacado: se requiere experiencia comprobada usando herramientas de IA como Claude o equivalentes.

Fluency in English

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Estudiante en curso de carrera cuantitativa (estadística, matemáticas, ciencia de datos, informática, economía, negocios).
✓Conocimiento sólido de SQL para extraer y manipular datos.
✓Familiaridad con Python para procesamiento y análisis de datos.
✓Habilidad para resolver problemas y atención al detalle.
✓Comunicación efectiva en inglés.
✓Experiencia demostrable con herramientas de IA como Claude o equivalentes.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonRedshiftPostgreSQLData buildRedashTableauLookerPower BI

Who should you write to at Sezzle?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 reviewing reports and dashboards. • Help to visualize and present analytics results to make them easy for others to understand and act on. What We Look For: • Currently pursuing a degree in a quantitative discipline such as statistics, math, data science, or computer science, business, economy. • Solid understanding of SQL to extract, work with data and create actionable data sets. • Familiarity with Python for data processing and analytics. • Eagerness to learn and adapt to new technologies quickly. • Strong problem-solving skills and attention to detail. • Excellent communication skills and fluency in English. • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication. Preferred Qualifications: • Experience with data visualization tools such as Redash, Tableau, Looker or Power BI • Experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning The Tech You’ll Work With: • Python • Redshift, PostgreSQL • Data build

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.