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.
Why Binance
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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.
Why Binance
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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
💡 Quick Summary
Seeking a career-building opportunity? The Data Analyst, Risk Operations position is now open for candidates interested in the Work from home Jobs sector. This role in New South Wales offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
