Binance Accelerator Program - Data Analyst

About the role

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world. 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) Responsibilities: 1. Daily Data Monitoring: Assist in maintaining business reports and dashboards; track metrics such as user activity, content publishing, views, engagement, and retention; identify anomalies and participate in root-cause analysis. 2. User Behavior Analysis: Analyze user journeys from browsing, liking, commenting, and following to content creation. Use user segmentation, funnel analysis, and retention analysis to identify opportunities to improve the user experience and conversion rates. 3. Content Ecosystem Analysis: Evaluate the performance of different content formats, topics, and creators, providing data-driven support for content operations, creator incentive programs, and community campaigns. 4. Strategy and Impact Evaluation: Support data preparation and performance analysis for product features, operational campaigns, and A/B tests. Help summarize findings and recommend improvements. 5. Data Support and Quality Assurance: Extract and analyze data based on the needs of product and operations teams. Participate in event-tracking validation, metric definition and documentation, and data quality checks. Qualifications: 1. Currently enrolled in a master’s degree program or above. Candidates majoring in Statistics, Mathematics, Computer Science, Economics, or a related field are preferred. 2. Proficiency in SQL, including common queries involving multi-table joins, grouping, and aggregation. Strong Excel skills for data preparation and analysis. 3. Foundational knowledge of statistics and familiarity with common analytical methods such as funnel and retention analysis. Ability to derive clear, evidence-based insights from data. 4. Strong interest in content-driven community products, user behavior, content distribution, and creator ecosystems, with a willingness to proactively investigate the business factors behind changes in data. 5. Detail-oriented and committed to data accuracy, with strong communication, learning, and execution skills. Preferred Qualifications: - Experience using Python, R, or BI tools for data analysis and visualization. - Previous data analytics internship, coursework, project, or competition experience, with the ability to clearly explain your analytical approach and individual contributions. - Experience in content creation, community operations, or campus media management. - Availability to work at least four days per week for a minimum of six consecutive months. Why Binance · Shape the future of finance · Collaborate with world-class talent in a user-centric global organization with a flat structure · Tackle challenging projects in a fast-paced and innovative enviornment with autonomy · Thrive in a results-driven workplace with opportunities for career growth and continuous learning · Competitive salary and company benefits · Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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

• —1. Daily Data Monitoring: Assist in maintaining business reports and dashboards; track metrics such as user activity, content publishing, views, engagement, and retention; identify anomalies and participate in root-cause analysis.
• —2. User Behavior Analysis: Analyze user journeys from browsing, liking, commenting, and following to content creation. Use user segmentation, funnel analysis, and retention analysis to identify opportunities to improve the user experience and conversion rates.
• —3. Content Ecosystem Analysis: Evaluate the performance of different content formats, topics, and creators, providing data-driven support for content operations, creator incentive programs, and community campaigns.
• —4. Strategy and Impact Evaluation: Support data preparation and performance analysis for product features, operational campaigns, and A/B tests. Help summarize findings and recommend improvements.
• —5. Data Support and Quality Assurance: Extract and analyze data based on the needs of product and operations teams. Participate in event-tracking validation, metric definition and documentation, and data quality checks.
• —1. Currently enrolled in a master’s degree program or above. Candidates majoring in Statistics, Mathematics, Computer Science, Economics, or a related field are preferred.
• —2. Proficiency in SQL, including common queries involving multi-table joins, grouping, and aggregation. Strong Excel skills for data preparation and analysis.
• —3. Foundational knowledge of statistics and familiarity with common analytical methods such as funnel and retention analysis. Ability to derive clear, evidence-based insights from data.

Requirements

• —1. Currently enrolled in a master’s degree program or above. Candidates majoring in Statistics, Mathematics, Computer Science, Economics, or a related field are preferred.
• —2. Proficiency in SQL, including common queries involving multi-table joins, grouping, and aggregation. Strong Excel skills for data preparation and analysis.
• —3. Foundational knowledge of statistics and familiarity with common analytical methods such as funnel and retention analysis. Ability to derive clear, evidence-based insights from data.
• —4. Strong interest in content-driven community products, user behavior, content distribution, and creator ecosystems, with a willingness to proactively investigate the business factors behind changes in data.
• —5. Detail-oriented and committed to data accuracy, with strong communication, learning, and execution skills.
• —Preferred Qualifications:
• —Experience using Python, R, or BI tools for data analysis and visualization.
• —Previous data analytics internship, coursework, project, or competition experience, with the ability to clearly explain your analytical approach and individual contributions.

Skills