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Product Data Intern

2 weeks, 6 days ago
Colombia
Internship
Entry Level
Product Analyst
Data Science and Analytics
AWS dbt Looker Machine Learning 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 180

Description

  • Support business and product teams in understanding their data needs and analytics priorities.
  • Assist in creating analyses and reports that inform growth strategies.
  • Analyze key data to help stakeholders identify new opportunities.
  • Create, monitor, and review reports and dashboards.
  • Visualize and present analytics results so others can understand and act on them.
  • Write SQL queries to extract and work with data.
  • Contribute Python code for data processing and analytics.
  • Support data initiatives across multiple departments.
  • Work closely with product team leaders to define key metrics and performance objectives.

Requirements

  • Currently pursuing a degree in a quantitative discipline such as statistics, math, data science, computer science, business, or economics.
  • Solid understanding of SQL for data extraction and creating actionable datasets.
  • 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.
  • Experience with data visualization tools such as Redash, Tableau, Looker, or Power BI is preferred.
  • Experience working with data, including complex dataset creation, reporting, profiling, or machine learning, is preferred.
  • The role is remote and listed as full-time.
  • Comfort working with the tech stack including Python, Redshift, PostgreSQL, dbt, AWS, and G Suite.

Benefits

  • Monthly gross salary of 700 USD.
  • Remote work arrangement.
  • Opportunity to gain hands-on experience in a fast-paced team environment.
  • Exposure to a modern analytics and data stack.
  • Interview process with clear steps and feedback expectations.

Interested in this position?

Apply directly on the company website

Apply Now

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