Remote Product Data Intern — Drive Insights & Dashboards

Sezzle

Colombia

Remote

COP 31,248,000 - 35,712,000

Full time

14 days+

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Job summary

Sezzle is seeking a Product Data Analyst Intern to help define metrics, write SQL queries, contribute Python code, and create dashboards to support data initiatives across departments. You’ll partner with product leaders to translate data into actionable insights and growth strategies, while gaining hands-on experience in a fast-paced fintech environment.

You’ll work on visualizing results, presenting analytics clearly, and collaborating across teams to identify opportunities and drive

Qualifications

  • 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.
  • Demonstrated experience with data visualization tools is a plus.

Responsibilities

  • 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 to understand and act on.

Skills

SQL
Python
English fluency
Attention to detail

Education

Pursuing degree in quantitative field

Tools

Redash
Tableau
Looker
Power BI

Job description

Sezzle is seeking a Product Data Analyst Intern to help define metrics, write SQL queries, contribute Python code, and create dashboards to support data initiatives across departments. You’ll partner with product leaders to translate data into actionable insights and growth strategies, while gaining hands-on experience in a fast-paced fintech environment.

You’ll work on visualizing results, presenting analytics clearly, and collaborating across teams to identify opportunities and drive

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