Product 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

We are looking for a motivated Product Data Analyst Intern to join our Product DA team. You will work alongside senior analysts on real product analytics projects — including conversion funnel analysis, A/B experiment evaluation, and dashboard building. This is a hands-on role where you'll gain exposure to product strategy, experiment-driven decision making, and large-scale data infrastructure.

• 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 (sanity checks), 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

• 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 is required to be able to coordinate with overseas partners and stakeholders.
• 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)

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.