Role in brief
Binance is seeking a Data Analyst to join their Risk team. This role focuses on building and maintaining user tagging systems, analyzing user behavior, and extracting insights from large datasets to support data-driven decisions. Candidates with experience in user profiling, strong analytical skills, and proficiency in Python, SQL, and data visualization tools should apply.
About the role
This role involves managing and enhancing a user tagging system to support personalized services and risk control. The analyst will analyze user behavior data to create accurate and dynamic user profiles, performing data mining and exploratory analysis to uncover insights from extensive datasets. A key part of the work is to continuously improve data quality and relevance by monitoring the effectiveness of user tags and profiles.
The Data Analyst will collaborate with various teams, including Product, Risk, Marketing, and Technology, to refine user segmentation and targeting strategies. This position supports the implementation of data-driven decision-making across the organization, identifying patterns, anomalies, and emerging trends in user behavior to aid business growth and risk mitigation. The analyst will also contribute to improving data methodologies and analytical processes.
Success in this position means effectively supporting risk control initiatives and personalized services through robust user tagging and profiling. It requires a solid understanding of user behavior analysis and the ability to translate complex data into actionable insights for cross-functional teams. The role operates within a fast-paced, international team environment, emphasizing autonomy and continuous learning.
The salary for this position ranges from $88,000 to $198,000 annually.
Skills that matter here
- Python: This role requires proficiency in Python for data analysis, mining, and feature engineering from large datasets.
- SQL: Proficiency in SQL is necessary for querying and managing data to support user tagging and behavioral analysis.
- Tableau: Experience with Tableau is needed for visualizing data and presenting insights derived from user behavior analysis.
- Power BI: Power BI is a required skill for data visualization, helping to communicate analytical findings to various teams.
- user profiling: The role involves direct experience with user profiling to build dynamic and actionable user profiles.
- customer segmentation: This position requires a background in customer segmentation to optimize user targeting strategies.
Who this role suits
- A person who thrives on analyzing complex user behavior data to identify patterns and trends.
- Someone who enjoys collaborating with diverse teams to implement data-driven strategies.
- An individual who is detail-oriented and committed to maintaining high standards of data accuracy and integrity.
- A professional who is comfortable working autonomously in a fast-paced, international setting.
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).
Questions about this role
What is the remote work policy for this role?
This is a remote position, though the specific arrangement may vary depending on the business team's needs.
What level of seniority is expected for this position?
This role is for a middle-seniority professional, requiring a minimum of 3-5 years of relevant experience.
What are the core technical skills required for this role?
The core technical skills required include proficiency in Python, SQL, and data visualization tools like Tableau or Power BI.