Senior Product Data Analyst
New
B
BinanceBlockchain Cryptocurrency
Hong Kong / Taiwan, Taipei / AsiaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English/Mandarin
- Experience
- At least 3 years
- Required Skills
- PythonSQLMicrosoft Power BITableauProduct AnalyticsAirflowA/B testingR
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
- 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
- Competency in SQL (Hive/SparkSQL) with large-scale data warehouse experience
- Competency in a data visualization tool (e.g. DataWind, Tableau, PowerBI)
- Competency in programming for data analysis and automation (e.g. Python, R)
- Competency in workflow orchestration tools (e.g. Airflow)
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
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