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Senior Product Data Analyst
BinanceSenior Product Data Analyst driving product strategy, experimentation, and user-growth analytics for Binance’s global blockchain ecosystem. Building metrics, dashboards, predictive models, and actionable insights.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product analytics and data science, with a strong focus on user growth, conversion optimization, and A/B testing. Proficient in translating complex data insights into actionable strategies for product and business development.
Highest-signal resume keywords
Product Analytics ExperienceA/B Testing DesignSQL ProficiencyData Visualization ToolsBilingual in Chinese and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringStatistical AnalysisPredictive ModelingExperiment FrameworksMetrics Hierarchy DefinitionOKR Target SettingData Governance FrameworksProgramming for Data AnalysisWorkflow OrchestrationUser Behavioral Analysis
Soft Skills
CuriosityCommunicationCollaborationMentoring
Tools & Technologies
A/B Testing PlatformsData Visualization ToolsLarge-Scale Data WarehousesEvent Tracking SystemsEmerging Technologies
Industry Keywords
CryptoFintechConsumer ProductsRecommendation SystemsProduct Strategy
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Work across all aspects of product data, from data engineering to building dashboards, experiment frameworks, and predictive models, supporting user growth and product strategy
- Analyze and interpret PB-scale user behavioral, transactional, and operational data using proprietary and open-source tools and platforms
- Design and evaluate A/B experiments end-to-end, including hypothesis formulation, experiment design, statistical analysis, significance testing, uplift calculation, and recommendations
- Define and maintain the core product metrics hierarchy, set OKR targets, and evaluate performance
- Translate complex findings into simple visualizations and actionable recommendations for product, operations, and executive teams
- Partner with Product Managers, Engineers, and Business stakeholders to drive data-informed product decisions
- Own end-to-end analytics for product strategy, impacting user conversion, engagement, and business growth
- Operate effectively in a fast-paced organization where time to market is critical
Requirements
What you’ll need- 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
- Curiosity to identify, investigate, and explain trends and patterns in data
- 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
- Passion for emerging technologies related to blockchain, machine learning, and AI
- Bilingual in Chinese and English, both written and verbal
- Competency in at least two of SQL with large-scale data warehouse experience, data visualization tools, programming for data analysis and automation, and workflow orchestration tools
- Experience with crypto/fintech or high-growth consumer products is nice to have
- Experience with personalization/recommendation systems analytics is nice to have
- Familiarity with event tracking systems is nice to have
- Experience building metrics dictionaries or data governance frameworks is nice to have
- Experience mentoring junior analysts is nice to have
Benefits
Comp & perks- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
- Opportunities for career growth and continuous learning
- Autonomy in an innovative environment
- Collaborate with world-class talent in a user-centric global organization with a flat structure