
Responsibilities
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Collaborate closely with product managers and designers to ensure data-driven product development and feature optimization.
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Conduct objective and statistical analyses, providing actionable insights that drive better decisions.
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Measure various performance outcomes, infer causal relationships, identify key issues, and propose data-driven solutions.
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Design and implement A/B testing experiments to evaluate and optimize product features and user engagement.
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Provide comprehensive data support across the company, including building dashboards, and message bots to enhance data accessibility.
Qualifications
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Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related field
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A minimum of 3 years of experience in analytics or a similar role.
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Proficient in SQL and comfortable working with large datasets.
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Experience in conducting product analysis from multiple angles (e.g., cohort analysis, retention, LTV, AARRR framework).
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Experience in designing and implementing the hypothesis and tests (e.g., A/B test) that led to product improvements.
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Business-level proficiency in Korean or English.
Preferred
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Familiarity with BigQuery, Python, Airflow, Looker or similar technologies.
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Previous experience working in a cryptocurrency exchange or fin-tech company.
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Exposure to performance marketing strategies and data analysis.
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Interest or skills in data quality checks and debugging for data integrity, as well as query optimization.
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Experience in machine learning, deep learning and/or AI applications.
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Self-driven, proactive personality with strong critical thinking skills.
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Excellent communication skills, with the ability to convey complex ideas clearly and effectively.
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Strong problem-solving skills, with a quick learning ability and adaptability in fast-paced environments.