Remote Product Data Intern: Turn Analytics into Growth

Sezzle; Comisión de Fomento de Perú; Híbrido; ARS 11.452.000 - 15.494.000; Jornada completa

Descripción de la vacante

Sezzle, a fintech company, is seeking a Product Data Analyst Intern to gain hands-on experience in a fast-paced environment. You'll collaborate with product leaders to define metrics and support data initiatives across departments.

You'll write SQL, contribute Python, and create dashboards that drive data‑driven decisions, helping teams uncover opportunities and improve business outcomes. This remote internship offers exposure to analytics in a growing fintech setting.

Formación

• Pursuing a degree in statistics, data science, CS, business or economics.
• Strong SQL skills to extract and shape data for analyses.
• Familiarity with Python for data processing and analytics.
• Willingness to learn AI tools and adapt to new technology.
• Excellent communication and fluency in English.

Responsabilidades

• Define key metrics and performance objectives with product leaders.
• Write SQL queries and contribute Python code for analytics.
• Create analyses, reports, and dashboards to inform growth strategies.
• Visualize results and present insights in an accessible way.
• Support cross-functional teams by identifying data opportunities.

Conocimientos

SQL proficiency

Python programming

English fluency

Analytical thinking

Strong communication

Educación

Currently pursuing degree in statistics/data science/CS/business

Herramientas

Claude or equivalent LLM tools

Redash/Tableau/Looker/Power BI

Descripción del empleo

Sezzle, a fintech company, is seeking a Product Data Analyst Intern to gain hands-on experience in a fast-paced environment. You'll collaborate with product leaders to define metrics and support data initiatives across departments.

You'll write SQL, contribute Python, and create dashboards that drive data‑driven decisions, helping teams uncover opportunities and improve business outcomes. This remote internship offers exposure to analytics in a growing fintech setting.