Binance Acceleration Program - Product Data Analyst

<div class="content-intro"><p>Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.</p></div><p>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.</p> <p>Responsibilities&nbsp;</p> <ul> <li>Assist in building and analyzing user conversion funnels, identifying drop-off points and improvement opportunities</li> <li>Support A/B experiment evaluation: pull experiment data, validate cohort allocation (sanity checks), calculate uplift metrics, and summarize results</li> <li>Build and maintain dashboards for key product metrics (CTR, conversion rate, UV/PV)</li> <li>Respond to product team ad-hoc data requests — user segmentation, feature adoption tracking, campaign performance analysis</li> <li>Write and maintain SQL queries for scheduled data pipelines; assist in data quality monitoring</li> <li>Translate data findings into clear summaries and visualizations for product teams</li> </ul> <p>Requirements</p> <ul> <li>Currently pursuing or recently completed a Bachelor's/Master's degree in a quantitative discipline (Statistics, Computer Science, Economics, Data Science, or related field)</li> <li>Internship experience in product analytics or related data analysis roles preferred</li> <li>A natural curiosity to identify, investigate and explain trends and patterns in data</li> <li>Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.</li> <li>Understanding of A/B testing fundamentals (hypothesis testing, p-value, confidence intervals)</li> <li>Strong logical thinking, attention to detail, and ability to work independently</li> <li>Fast learner with curiosity about product strategy and user behavior</li> <li>Competency in one or more of the following: <ul> <li>SQL (able to write complex queries with CTEs, window functions, subqueries)</li> <li>Programming (Python/R for data manipulation)</li> <li>A data visualization tool (e.g. DataWind, Tableau, PowerBI)</li> </ul> </li> </ul> <p>Preferred Requirements</p> <ul> <li>Experience with event tracking / behavioral analytics (Sensors, Mixpanel, GA)</li> <li>Familiarity with Airflow or data scheduling tools</li> <li>Interest in crypto/fintech industry</li> <li>Prior experience with large-scale data (Hive/Spark environment)</li> </ul><div class="content-conclusion"><p><strong>Why Binance</strong></p> <ul> <li>Shape the future of finance&nbsp;</li> <li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li> <li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li> <li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li> <li>Competitive salary and company benefits</li> <li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)</li> </ul> <p>Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</p> <p>By submitting a job application, you acknowledge that you have read our <a href="https://www.binance.com/en/candidate/privacy/notice">Candidate Privacy Notice</a>.</p> <p>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.</p></div>