Binance Acceleration Program - Product Data Analyst

About the Position

Binance Acceleration Program - Product Data Analyst

Location: Hong Kong / Asia

Employment Type: Full-time: Remote

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About Binance Accelerator Program

Binance Accelerator Program (BAP) is a 3-6 month internship designed for early career talent to gain firsthand experience in the digital assets space. As part of BAP, you will develop your skills at Binance, understand the workings of the world's leading blockchain ecosystem, and have opportunities for networking and professional development.

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Responsibilities

• Assist in building and analyzing user conversion funnels, identifying drop-off points and improvement opportunities
• Support A/B experiment evaluation: pull experiment data, validate cohort allocation, calculate uplift metrics, and summarize results
• Build and maintain dashboards for key product metrics (CTR, conversion rate, UV/PV)
• Respond to product team ad-hoc data requests - user segmentation, feature adoption tracking, campaign performance analysis
• Write and maintain SQL queries for scheduled data pipelines; assist in data quality monitoring
• Translate data findings into clear summaries and visualizations for product teams

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Requirements

• Currently pursuing or recently completed a Bachelor's/Master's degree in a quantitative discipline (Statistics, Computer Science, Economics, Data Science, or related field)
• Internship experience in product analytics or related data analysis roles preferred
• A natural curiosity to identify, investigate, and explain trends and patterns in data
• Bilingual English/Mandarin required
• Understanding of A/B testing fundamentals (hypothesis testing, p-value, confidence intervals)
• Strong logical thinking, attention to detail, and ability to work independently
• Fast learner with curiosity about product strategy and user behavior
• Competency in one or more of the following:
  • SQL (able to write complex queries with CTEs, window functions, subqueries)
  • Programming (Python/R for data manipulation)
  • A data visualization tool (e.g. DataWind, Tableau, PowerBI)

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Nice to Have

• Experience with event tracking / behavioral analytics (Sensors, Mixpanel, GA)
• Familiarity with Airflow or data scheduling tools
• Interest in the crypto/fintech industry
• Prior experience with large-scale data (Hive/Spark environment)

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We Offer

• 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)

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About the Company

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.

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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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.