Senior Product Data Analyst

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 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