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)
