Senior Product Data Analyst

We are looking for a Senior Product Data Analyst to join the Product DA team, partnering closely with Product Managers, Engineers, and Business stakeholders to drive data-informed product decisions. You will own end-to-end analytics for product strategy - from defining metrics and designing experiments to delivering actionable insights that directly impact user conversion, engagement, and business growth.

Responsibilities:

• Work across all aspects of product data - from data engineering to building sophisticated dashboards, experiment frameworks and predictive models - in support of user growth and product strategy
• Analyze and interpret large (PB-scale) volumes of user behavioral, transactional, and operational data using proprietary and open source data tools, platforms and analytical toolkits
• Design and evaluate A/B experiments end-to-end: hypothesis formulation, experiment design, statistical analysis (significance testing, uplift calculation), and actionable recommendations
• Define and maintain core product metrics hierarchy (CTR, conversion rate, retention, etc.), set OKR targets, and continuously evaluate performance
• Translate complex findings into simple visualizations and recommendations for execution by product, operational teams and executives
• Be part of a fast-paced industry and organization where time to market is critical

Requirements:

• Degree in a quantitative discipline, such as Mathematics/Statistics, Computer Science, Engineering, Economics, or Data Science
• At least 3 years of full-time work experience in a Product Analytics or Data Science role
• Rich product strategy analysis experience, especially in user growth, conversion optimization, or recommendation systems Hard Requirement
• A natural curiosity to identify, investigate and explain trends and patterns in data, and an ability to break down complex concepts and technical findings into clear, simple language
• Prior experience with A/B testing platforms and statistical experiment design preferred
• A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
• Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
• Competency in two or more of the following:
  • SQL (Hive/SparkSQL) with large-scale data warehouse experience
  • A data visualization tool (e.g. DataWind, Tableau, PowerBI)
  • Programming for data analysis and automation (e.g. Python, R)
  • Workflow orchestration tools (e.g. Airflow)

Nice to Have:

• Experience in crypto/fintech or high-growth consumer products
• Experience with personalization/recommendation systems analytics
• Familiarity with event tracking systems (e.g. Sensors, Mixpanel)
• Experience building metrics dictionaries or data governance frameworks
• Experience mentoring junior analysts