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Senior Product Data Analyst
Hong Kong / Taiwan, Taipei / Asia
Product & Design – Product /
Full-time: Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
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 in Chinese and English (both written and verbal communication)
- 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
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.