Job Description

Summary

Responsibilities

  1. Collaborate closely with product managers and designers to ensure data-driven product development and feature optimization.
  2. Conduct objective and statistical analyses, providing actionable insights that drive better decisions.
  3. Measure various performance outcomes, infer causal relationships, identify key issues, and propose data-driven solutions.
  4. Design and implement A/B testing experiments to evaluate and optimize product features and user engagement.
  5. Provide comprehensive data support across the company, including building dashboards, and message bots to enhance data accessibility.

Qualifications

  1. Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related field
  2. A minimum of 3 years of experience in analytics or a similar role.
  3. Proficient in SQL and comfortable working with large datasets.
  4. Experience in conducting product analysis from multiple angles (e.g., cohort analysis, retention, LTV, AARRR framework).
  5. Experience in designing and implementing the hypothesis and tests (e.g., A/B test) that led to product improvements.
  6. Business-level proficiency in Korean or English. 

Preferred

  1. Familiarity with BigQuery, Python, Airflow, Looker or similar technologies.
  2. Previous experience working in a cryptocurrency exchange or fin-tech company.
  3. Exposure to performance marketing strategies and data analysis.
  4. Interest or skills in data quality checks and debugging for data integrity, as well as query optimization.
  5. Experience in machine learning, deep learning and/or AI applications.
  6. Self-driven, proactive personality with strong critical thinking skills.
  7. Excellent communication skills, with the ability to convey complex ideas clearly and effectively.
  8. Strong problem-solving skills, with a quick learning ability and adaptability in fast-paced environments.

Skills
  • Analytical Thinking
  • Communications Skills
  • Cryptocurrency
  • Development
  • Python
  • Software Engineering
  • Team Collaboration
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