Binance - Data Analyst, Risk
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Requirements
• Bachelor’s degree or above in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. • Minimum 3–5 years of experience in data analysis, user profiling, customer segmentation, or related areas. • Strong background in data analytics, user behavior analysis, and customer segmentation. • Proficiency in Python, SQL, and data visualization tools such as Tableau or Power BI. • Experience with big data platforms and related tools is a plus. • Solid understanding of user tagging methodologies and user journey mapping. • Familiarity with black-market ecosystems and the operating models of bonus abuse, promotion abuse, or fraudulent studio groups is highly preferred; hands-on experience in identifying and combating such activities is a strong advantage. • Knowledge of machine learning techniques and experience applying them to user data is an advantage. • Excellent analytical thinking and problem-solving skills. • Ability to work collaboratively in a fast-paced, international team environment. • Detail-oriented, with a strong sense of data accuracy, consistency, and integrity. • Experience with AI technologies and practical applications is a plus. • Experience in internet platforms, fintech, risk control, growth analytics, or anti-fraud related domains. • Familiarity with experimentation frameworks, A/B testing, and user lifecycle analysis. • Experience working with large-scale behavioral datasets and real-time analytics scenarios.
Responsibilities
• Manage and maintain a comprehensive user tagging system to support personalized services and risk control initiatives. • Analyze user behavior data to build accurate, dynamic, and actionable user profiles. • Perform data mining, feature engineering, and exploratory analysis to extract meaningful insights from large-scale datasets. • Collaborate closely with cross-functional teams, including Product, Risk, Marketing, and Technology, to optimize user segmentation and targeting strategies. • Monitor and evaluate the effectiveness of user tags and user profiles, continuously improving data quality, accuracy, and relevance. • Support the implementation of data-driven decision-making processes across the organization. • Identify patterns, anomalies, and emerging trends in user behavior to support business growth and risk mitigation. • Contribute to the continuous improvement of data methodologies, profiling frameworks, and analytical processes.
Benefits
• Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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