Location
Remote (Hong Kong)
Employment
Full-Time
Overview
Company
Impact
Profile match
Binance is the world's largest cryptocurrency exchange by trading volume, founded in 2017 by Changpeng Zhao and Yi He. The platform offers spot, margin and derivatives trading across hundreds of digital assets, alongside staking, savings products, payments, an institutional custody arm and a self-custodial Web3 wallet. The group also created BNB Chain, one of the most used smart contract networks, and now operates under a licensed regional structure after a 2023 settlement with United States authorities that installed new leadership and compliance oversight.
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.
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 (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
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 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)
Nice to Have
- Experience with event tracking / behavioral analytics (Sensors, Mixpanel, GA)
- Familiarity with Airflow or data scheduling tools
- Interest in crypto/fintech industry
- Prior experience with large-scale data (Hive/Spark environment)
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