Role in brief
Binance is seeking a Data Analyst in Risk to manage user tagging systems and analyze user behavior. This role involves extracting insights from large datasets to support data-driven decisions and risk control. 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 focuses on building and maintaining a user tagging system to support personalized services and risk control. The Data Analyst will analyze user behavior data to create dynamic user profiles, performing data mining and exploratory analysis to extract insights from large datasets. A key aspect is identifying patterns, anomalies, and emerging trends to support business growth and mitigate risks.
The position involves close collaboration with product, risk, marketing, and technology teams to optimize user segmentation and targeting strategies. The analyst will continuously monitor and evaluate the effectiveness of user tags and profiles, ensuring data quality and relevance. This includes contributing to the improvement of data methodologies and analytical processes within the organization.
Success in this role means supporting the implementation of data-driven decision-making across Binance, a global blockchain ecosystem. The ideal candidate will have a strong background in user behavior analysis and customer segmentation, contributing to an inclusive financial ecosystem that leverages digital assets and blockchain technology.
The salary for this position ranges from $88,000 to $198,000 annually.
Skills that matter here
- Python: Proficiency in Python is required for data analysis, data mining, and feature engineering tasks.
- SQL: Strong SQL skills are necessary for querying and managing large-scale datasets.
- Tableau: Experience with Tableau is needed for creating data visualizations and dashboards.
- Power BI: Familiarity with Power BI is an alternative for data visualization and reporting.
- user tagging methodologies: A solid understanding of user tagging methodologies is essential for managing and maintaining the user tagging system.
- user journey mapping: Familiarity with user journey mapping is beneficial for analyzing and understanding user behavior.
Who this role suits
- A person with a strong academic background in data science, statistics, or a related quantitative field.
- Someone with 3-5 years of experience specifically in data analysis, user profiling, or customer segmentation.
- An individual who is detail-oriented and maintains a strong sense of data accuracy and integrity.
- A candidate who thrives in a fast-paced, international team environment and can work collaboratively across different functions.
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, with work-from-home arrangements that may vary depending on the specific business team's needs.
What level of seniority is expected for this position?
This role is for a middle-seniority professional.
What are the primary technical skills required for this role?
The primary technical skills required are proficiency in Python, SQL, and data visualization tools like Tableau or Power BI.