Senior Data Analyst Dating
@ Rakuten Viber

Hybrid
$120,000
Hybrid
Full Time
Posted 5 days ago

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Job Details

Senior Data Analyst Dating at Rakuten Viber

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us offers the opportunity to influence millions of users and be part of a journey that turns us into a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from family moments to strengthening business relationships.

Responsibilities

  • Identify improvement areas through precise data analysis aligned with strategic vision.
  • Collaborate with cross-functional teams to translate findings into business strategies.
  • Design, conduct, and analyze A/B tests for product initiatives.
  • Develop and monitor dashboards and reports to track platform health and user behavior.

Requirements

  • 6+ years of experience in data analysis.
  • 2+ years of specialized experience in the Dating mobile apps market.
  • Strong expertise in SQL, Python, and data visualization tools (Tableau, Looker, Matplotlib).
  • Experience designing and analyzing A/B tests.
  • Familiarity with causality models for data analysis.

Advantages

  • Strong statistical background.
  • Exceptional storytelling and presentation skills.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • Data Visualization
  • A/B Testing
  • Dashboard Reporting
  • Statistical Analysis
  • Causality Models
  • Business Strategy
  • Mobile Apps

How to Get Hired at Rakuten Viber

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight relevant data analytics experience.
  • Showcase technical skills: Emphasize SQL, Python and visualization tools.
  • Research Rakuten Viber: Understand their app ecosystem and impact.
  • Prepare for case studies: Practice solving A/B test scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Python data manipulation libraries.
Build sample dashboards in Tableau or Looker.
Study A/B testing methodologies.

Behavioral Questions

Describe a challenging team project.
Explain a time you used data insights.
Discuss how you manage multiple tasks.
Share a presentation success story.

Frequently Asked Questions