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. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.

About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.

Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws

Key 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 And 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.
• 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.

Additional information

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)

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.

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.

• 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.

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