Data Analyst, Risk

About the role

As a Data Analyst at Binance, you will manage user tagging systems and analyze user behavior to support risk control and personalized services. Your role will involve extracting insights from large datasets and collaborating with various teams to optimize user segmentation strategies.

You will be part of a global team within a leading blockchain ecosystem. Success in this role means improving data quality and relevance while identifying trends that support business growth and risk mitigation. The work environment is fast-paced, innovative, and results-driven.

The salary range for this position is between $88,000 and $198,000, providing competitive compensation for skilled analysts.

Skills that matter here

• Python: This role requires proficiency in Python for data analysis and user profiling.
• SQL: SQL is essential for managing and querying large datasets.
• Tableau: Tableau is used for visualizing data insights effectively.
• Power BI: Power BI supports data visualization and reporting needs.

Who this role suits

• A candidate with a strong analytical mindset and problem-solving skills.
• Someone who thrives in a collaborative, fast-paced international team environment.
• Detail-oriented individuals who prioritize data accuracy and integrity.
• Candidates who are adaptable and eager to learn in an innovative workplace.

From the employer

• 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.

• 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.

• 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).