Product Data Intern

Sezzle · Colombia, RemoteRemotojunior

En corto

▸Analista de datos de producto en un entorno fintech dinámico.
▸Escribir SQL, usar Python y visualizar datos para impulsar decisiones estratégicas.
▸Se requiere experiencia con IA como Claude para mejorar productividad.

Fluency in English required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Estudiante en ciencias cuantitativas, estadística, matemáticas, ciencia de datos o afines.
✓Conocimiento sólido de SQL para extraer y procesar datos.
✓Familiaridad con Python para análisis y procesamiento de datos.
✓Capacidad para resolver problemas con atención al detalle.
✓Habilidades de comunicación claras y fluidez en inglés.
✓Experiencia previa con herramientas de IA como Claude o similares.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonRedshiftPostgreSQLData buildRedashTableauLookerPower BIClaudeWonderlic

¿A quién escribirle en Sezzle?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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

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