Job Description

Summary

We are looking for a Data Analyst Intern who sees data as a narrative tool, not just a spreadsheet.

In this role, you won’t just pull numbers; you’ll help teams understand user behavior and make better decisions. You’ll work closely with product managers and marketing teams to see how users interact with the product and find ways to improve growth and retention. We’re looking for someone who is curious, asks questions, and enjoys exploring data to find insights. You’ll also receive mentorship and guidance to help you grow your skills as a data analyst.

Your work will help answer questions like: 

Where are users dropping off? What drives long-term retention? Which product changes meaningfully move our metrics?

What You’ll Do

  1. Analyze product and business questions
  2. Look at user behavior and product data to understand trends
  3. Analyze things like conversion funnels, user activity, and performance metrics
  4. Identify opportunities to improve growth and reduce user drop-off
  5. Work with different teams
  6. Collaborate with product, marketing, and operations teams
  7. Help turn business questions into data analysis
  8. Share insights that help teams make better decisions
  9. Build useful dashboards
  10. Create dashboards that help teams track performance
  11. Make data easier for teams to explore and understand
  12. Help improve our data systems
  13. Work with the data team to improve data quality
  14. Help organize and define key metrics
  15. Support projects that use data for advanced analytics and AI

What We’re Looking For

  1. Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  2. Some experience with data analysis or data-related projects (internships, school projects, etc.)
  3. Basic to strong SQL skills
  4. Interest in analyzing user behavior or product data
  5. Ability to break down unclear business questions into data analysis
  6. Good communication and teamwork skills

Nice to Have

  1. Experience with analytics tools like Amplitude, Mixpanel, or Google Analytics
  2. Experience with dashboards such as PowerBI, Tableau, or Quicksight
  3. Experience running or analyzing A/B tests
  4. Some knowledge of Python or R
  5. Interest in modern technologies like AI or cloud tools

Skills
  • Communications Skills
  • Development
  • Python
  • Software Engineering
  • Team Collaboration
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