Affiliate Data Analyst / Senior 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 over 280 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.

Data is at the core of Binance’s mission to serve tens of millions of crypto-currency users. Data Analysts across the company perform impactful analysis to identify trends, and make strategic and important decisions that impact an active and rapidly growing user base.

Responsibilities: Work closely with marketing and affiliate teams to collect, process, and analyze referral and affiliate program data, ensuring accurate and actionable insights. Analyze and interpret large volumes of marketing and transactional data related to affiliate performance, customer acquisition, and referral conversions using advanced data tools and platforms. Identify trends, patterns, and anomalies within affiliate data to recommend strategic improvements, optimizations and opportunities that drive growth and enhance program effectiveness. Develop and maintain dashboards and visualizations that clearly communicate affiliate program performance and key metrics to stakeholders across the organization. Collaborate with cross-functional teams to design and evaluate experiments aimed at improving affiliate marketing strategies and ROI. Translate complex data findings into clear, concise reports and presentations for both operational teams and senior management to support data-driven decision making. Stay up-to-date with industry trends and best practices in affiliate marketing analytics to continuously enhance analytical methodologies and tools. Operate effectively in a fast-paced environment where timely insights and rapid execution are critical to maintaining competitive advantage. Requirements: Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences 5-7 years of full-time work experience in an Analytics or Data Science role Experience in business consulting settings is preferred A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders. Competency in two or more of the following: An analytical software (e.g. R, SAS) A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,) A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J) Programming. (e.g. VBA, C++, Java, Python)