Data Analyst

As a Data Analyst in FlipsterWe are one of the fastest-growing cryptocurrency futures exchange companies, focused on making cryptocurrency trading easier and more user-friendly. As a data analyst, you will play a key role in enhancing the overall experience in Flipster exchange by optimizing user interactions, simplifying the trading process especially for individuals unfamiliar with crypto, identifying potential traders through behavior analysis, and also analyzing financial data and trading patterns. Collaborating closely with our product team, you'll have opportunities to drive innovation and growth through data-driven experiments and automated processes. Location: This is a global remote role.

ResponsibilitiesCollaborate closely with product managers and designers to ensure data-driven product development and feature optimization. Conduct objective and statistical analyses, providing actionable insights that drive better decisions. Measure various performance outcomes, infer causal relationships, identify key issues, and propose data-driven solutions. Design and implement A/B testing experiments to evaluate and optimize product features and user engagement. Provide comprehensive data support across the company, including building dashboards, and message bots to enhance data accessibility. QualificationsBachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related fieldA minimum of 4 years of experience in analytics or a similar role.

Proficient in SQL and comfortable working with large datasets. Experience in conducting product analysis from multiple angles (e. g. , cohort analysis, retention, LTV, AARRR framework). Experience in designing and implementing the hypothesis and tests (e. g. , A/B test) that led to product improvements. Business-level proficiency in Korean or English. PreferredFamiliarity with BigQuery, Python, Airflow, or similar technologies. Previous experience working in a cryptocurrency exchange or fin-tech company. Exposure to performance marketing strategies and data analysis. Interest or skills in data quality checks and debugging for data integrity, as well as query optimization.

Experience in machine learning, deep learning and/or AI applications. Self-driven, proactive personality with strong critical thinking skills. Excellent communication skills, with the ability to convey complex ideas clearly and effectively. Strong problem-solving skills, with a quick learning ability and adaptability in fast-paced environments. Our hiring processResume/CV submission1st Round Interview2nd Round Interview