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
Skills Required
- Degree in a quantitative discipline (Mathematics/Statistics, Computer Science, Engineering, Economics, Data Science)
- At least 3 years full-time work experience in a Product Analytics or Data Science role
- Rich product strategy analysis experience (user growth, conversion optimization, recommendation systems)
- Natural curiosity and ability to explain complex data findings in clear language
- Bilingual English and Mandarin
- Competency with SQL (Hive/SparkSQL) and large-scale data warehouses
- Competency with a data visualization tool (DataWind, Tableau, PowerBI)
- Competency with programming for data analysis and automation (Python, R)
- Competency with workflow orchestration tools (Airflow)
- Prior experience with A/B testing platforms and statistical experiment design
- Passion for emerging technologies related to Blockchain, Machine Learning and AI
- Experience in crypto/fintech or high-growth consumer products
- Experience with personalization / recommendation systems analytics
- Familiarity with event tracking systems (Sensors, Mixpanel)
- Experience building metrics dictionaries or data governance frameworks
- Experience mentoring junior analysts
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com








