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Product Data Intern

1 hour, 3 minutes ago
Peru
Full-time
Entry Level
Product Analyst
Data Science and Analytics
AWS dbt LLM Looker Machine Learning macOS PostgreSQL Power BI Python Redash SQL Tableau
Apply Now
Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016
View All Jobs 104

Description

  • Support business teams in defining data needs and analytics priorities.
  • Write SQL queries and contribute Python code for data processing and analysis.
  • Create analyses and reports that inform growth strategies.
  • Analyze key data to help stakeholders identify opportunities.
  • Create, monitor, and review reports and dashboards.
  • Visualize and present analytical findings clearly for decision-making.
  • Collaborate with product team leaders to define key metrics and performance objectives.

Requirements

  • Currently pursuing a degree in statistics, mathematics, data science, computer science, business, economics, or a related quantitative discipline.
  • Solid understanding of SQL for extracting and transforming data and creating actionable datasets.
  • Familiarity with Python for data processing and analytics.
  • Experience using Claude or an equivalent large language model tool is required.
  • Strong problem-solving skills and attention to detail.
  • Excellent English communication skills.
  • Willingness to learn and adapt to new technologies quickly.
  • Experience with data visualization tools such as Redash, Tableau, Looker, or Power BI is preferred.
  • Experience with complex dataset creation, reporting, data profiling, or machine learning is preferred.
  • Familiarity with Python, Redshift, PostgreSQL, dbt, AWS, G Suite, and Mac is beneficial.

Benefits

  • $800 USD gross monthly compensation.
  • Remote full-time position.
  • Opportunity to gain hands-on experience in product analytics and fintech.
  • Experience working with product, business, and data teams in a fast-paced environment.

Interested in this position?

Apply directly on the company website

Apply Now

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