Binance Accelerator Program - Data Analyst

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

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.