Data Analyst

🚀 About FlipsterFlipster(flipster.io) is a next-level trading platform that is connecting investors to insight, and new opportunities brewing in the cryptoverse. We uncover exclusive opportunities and provide a high-performance platform to put them to work. We believe in an exciting, bold future for crypto. A decentralized, well-governed space, that sparks progress for investors, traders and amazingly innovative crypto projects simultaneously. Flipster will unlock access to ideas we can't even imagine yet. We aim to propel their development and uncover potential.

As a Data Analyst at 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.

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 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.
• Ability to clearly define and analyze the causal inference between feature updates or campaigns and the key metrics.
• Business-level proficiency in Korean or English.

Preferred

• Familiarity 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.
• Proficient 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