Data Analyst, Risk Operations
Binance
full-time
Posted on:
Location Type: Hybrid
Location: Singapore
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About the role
- 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.
Benefits
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisuser profilingdata analyticsuser behavior analysiscustomer segmentationPythonSQLdata visualizationmachine learningAI technologies
Soft skills
analytical thinkingproblem-solvingcommunicationcollaborationdetail-orienteddata accuracydata integrity