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Data Analyst, Risk Operations

30+ days ago 2026/06/06
Other Business Support Services
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Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities


  • Manage and maintain comprehensive user tagging systems to support personalized services and risk control.
  • Analyze user behavior data to build accurate and dynamic user profiles.
  • Perform data mining and feature engineering to extract meaningful insights from large-scale user data.
  • Collaborate 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 profiles, continuously improving data quality and relevance.
  • Support the implementation of data-driven decision-making processes across the organization.

Requirements


  • Minimum 3–5 years of experience in data analysis, user profiling, or related fields.
  • Strong background in data analytics, user behavior analysis, and customer segmentation.
  • Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Solid understanding of user tagging methodologies and user journey mapping.
  • Detail-oriented with a strong sense of data accuracy and integrity.
  • Excellent analytical thinking and problem-solving skills.
  • Strong communication skills in English, both written and verbal.
  • Ability to work collaboratively in a fast-paced, international team environment.
  • Experience with big data platforms and tools is a plus.
  • Knowledge of machine learning techniques and experience applying them to user data is advantageous.
  • Experience with AI technologies and applications is a plus.

This job post has been translated by AI and may contain minor differences or errors.
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