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)