🚀 About Flipster
Flipster*(flipster.io)* is a high-performance crypto perpetuals trading platform on a mission to create the most efficient, frictionless, and high-performance trading experience.
Engineered by traders and optimized for trading, Flipster combines zero spreads, instant execution, and capital efficiency to deliver a platform where performance is the product.
Operating globally and serving users in nearly 200 countries, Flipster is built for crypto traders who demand the ultimate perpetual trading experience — from active retail users to degens to seasoned pros — while maintaining the highest standards of compliance and security.
Responsibilities
- Collaborate 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.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related field
- A minimum of 3 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.
Preferred
- Familiarity with BigQuery, Python, Airflow, Looker 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.
Hiring process
- Resume/CV submission
- 1st round interview
- 2nd round interview
- 3rd round interview
