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Product Analyst

TripleTen

HybridHybrid

Original Job Summary

About Product Analyst at TripleTen

TripleTen is a service that empowers individuals to master tech professions including software engineering, data science, business intelligence analytics, and QA, ultimately leading to employment opportunities in the US market.

What You Will Do

  • Conduct exploratory analyses to uncover actionable product insights.
  • Lead full-cycle analytical projects from scoping to delivery.
  • Develop Tableau dashboards and in-depth product research reports.
  • Evaluate changes from experiments without A/B testing.
  • Foster a data-driven culture by training product teams on metrics and experiments.

Requirements

  • 3+ years of experience in a data/product analyst role.
  • Proficiency in statistical testing and research.
  • Strong skills with SQL, Python, and Tableau.
  • Ability to communicate and present complex data insights.
  • Upper-intermediate (B2+) English proficiency.

Preferred Qualifications

  • Experience with analytics on educational products.
  • Familiarity with PySpark and/or advanced Tableau features.

What We Can Offer You

  • Fully remote and full-time position with professional freedom.
  • Join a dynamic, diverse, global team.
  • Use digital collaboration tools such as Miro, Notion, and Google Workspace.
  • Your work will directly impact student employment success post-graduation.

Additional Information

This role does not offer H-1B, L-1A/B sponsorship and is subject to reassignment of duties as needed. TripleTen is an equal opportunity employer.

Key skills/competency

  • Analytics
  • SQL
  • Python
  • Tableau
  • Statistical Analysis
  • Dashboard Design
  • Data Insight
  • Product Research
  • Data Communication
  • EdTech

How to Get Hired at TripleTen

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight relevant analytics experience.
  • Demonstrate tech skills: Detail SQL, Python, and Tableau projects.
  • Research TripleTen: Understand their mission and edtech focus.
  • Prepare for interviews: Practice presenting complex data insights.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and database management.
Practice Python scripting for data analysis.
Build sample Tableau dashboards.
Refresh statistical testing methods and tools.

Behavioral Questions

Describe a challenging data project.
Explain stakeholder communication methods.
How do you manage deadlines?
Share teamwork conflict resolution experience.