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
HR Tech • Information Technology • Professional Services • Consulting
Contract Math Expert to produce high-quality answers and "golden responses" for undergraduate and graduate mathematics prompts. Responsibilities include analysing complex problems, writing clear structured explanations, reviewing and refining model answers, collaborating with remote experts, and meeting format, quality, and timeliness requirements. Flexible 15–40 hour weekly commitment for a 3–6 month contract.
Artificial Intelligence • Marketing Tech • Sales • Software
Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.
Top Skills:
Aurora PostgresAWSBitcoinClickhouseEthereumGithub ActionsGoHsmKubernetesMpc/TssRustSolanaTemporalTerraformThreshold Signing ProtocolsTypescript
Artificial Intelligence • Fintech • Software • Automation
Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.
Top Skills:
Aws ServerlessFastapiLambdaPostgresPythonReact
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
