Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.
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
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.
Similar Jobs
Artificial Intelligence • Analytics • Consulting • Semiconductor
Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.
Top Skills:
Chart.JsCudaD3.JsGithub ActionsGithub ApiHipJaxNeonNeuronNext.Js App RouterPostgresPyTorchReactRechartsRocmServer ActionsServer ComponentsSQLTpuTrainiumTypescriptVercelWebhooksXla
Artificial Intelligence • Fintech • Software • Automation
Drive simplification and automation of tax operations for a B2B SaaS product. Gather requirements, launch automation features, partner with engineering, design, and operations, and integrate third-party tools to deliver end-to-end solutions.
Blockchain • Fintech • Software • Web3
Design, implement, and maintain blockchain infrastructure and dApps. Develop and review smart contracts, optimize consensus and cryptography for scalability and security, troubleshoot performance and reliability issues, and collaborate with product and design teams to deliver features while staying current with blockchain advancements.
Top Skills:
DefiEthereumEvmLiquid StakingRestakingSmart ContractsSolidity
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus



