Binance Acceleration Program - Product Data Analyst

• Support the development and analysis of user conversion funnels, identifying key drop-off points, behavioral patterns, and opportunities to improve the user experience.
• Assist with A/B test analysis by extracting experiment data, validating cohort allocation through sanity checks, calculating uplift metrics, and summarizing findings.
• Build and maintain dashboards tracking important product metrics, including click-through rates, conversion rates, unique visitors, and page views.
• Respond to ad-hoc analytical requests from product teams, including user segmentation, feature adoption analysis, and campaign performance assessments.
• Write, optimize, and maintain SQL queries used in recurring and scheduled data pipelines.
• Assist with data quality monitoring and help identify potential inconsistencies or issues in analytical datasets.
• Translate analytical findings into clear summaries, visualizations, and actionable insights for product stakeholders.
• Work closely with senior analysts and product teams to understand business questions and translate them into structured analytical approaches.
• Develop practical knowledge of product analytics, experimentation, user behavior, and data-driven product strategy.

Requirements:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative discipline.
• Previous internship experience in product analytics, data analysis, business intelligence, or a related field is preferred.
• Strong curiosity and analytical thinking, with the ability to investigate trends, identify patterns, and explain findings clearly.
• Professional fluency in both English and Mandarin is required to coordinate effectively with international partners and stakeholders.
• Understanding of A/B testing fundamentals, including hypothesis testing, p-values, confidence intervals, cohort allocation, and uplift measurement.
• Strong logical reasoning, attention to detail, and the ability to work independently in a fast-moving environment.
• Demonstrated willingness to learn, with genuine curiosity about product strategy, user behavior, and data-driven decision-making.
• Proficiency in at least one of the following areas:
  • SQL: ability to write complex queries using CTEs, window functions, subqueries, and related techniques.
  • Programming: experience with Python or R for data manipulation and analysis.
  • Data visualization: familiarity with tools such as DataWind, Tableau, or Power BI.
• Experience with event tracking or behavioral analytics platforms such as Sensors, Mixpanel, or Google Analytics is an advantage.
• Familiarity with Airflow or other data scheduling and orchestration tools is a plus.
• Interest in cryptocurrency, fintech, blockchain, or digital assets is beneficial.
• Exposure to large-scale data environments such as Hive or Spark is a plus.

Benefits:

• 3–6 month structured internship designed for current university students and recent graduates.
• Hands-on experience working on real product analytics projects alongside experienced data professionals.
• Exposure to conversion analysis, A/B testing, dashboards, user behavior analytics, and large-scale data infrastructure.
• Opportunities to develop practical technical, analytical, and product strategy skills.
• Networking and professional development opportunities within a global technology environment.
• Opportunity to collaborate with experienced professionals and international stakeholders.
• Fast-paced, innovative environment with exposure to unique product and data challenges.
• Opportunities for continued learning and potential career development.
• Competitive compensation and applicable company benefits, subject to local employment terms and applicable law.
• Remote work arrangement, subject to the requirements and working model of the relevant business team.