Affiliate Data Analyst / Senior Data Analyst

Binance is a prominent global blockchain ecosystem known for operating the largest cryptocurrency exchange worldwide based on trading volume and user base. Our trusted platform serves over 280 million users in over 100 countries with a strong emphasis on industry-leading security measures, transparent user fund management, high-speed trading engines, exceptional liquidity, and a diverse range of digital asset products. From trading and financial services to education, research, payment solutions, institutional offerings, Web3 functionalities, and more, Binance is dedicated to utilizing the potential of blockchain and digital assets to create a financially inclusive world, promoting financial freedom globally.

Data plays a central role in Binance's commitment to serving millions of cryptocurrency users. Data Analysts play a crucial role throughout the organization by conducting impactful analysis to spot trends, make strategic decisions, and influence an active and evolving user community.

Responsibilities

• Collaborate closely with marketing and affiliate teams to gather, process, and analyze data on referral and affiliate programs, ensuring accuracy in insights.
• Use advanced data tools to examine and interpret large data sets related to affiliate performance, customer acquisition, and referral conversions within marketing and transactions.
• Identify patterns, anomalies, and trends in affiliate data to suggest strategic enhancements, optimizations, and growth opportunities for program effectiveness.
• Develop and manage dashboards and visual representations that effectively communicate affiliate program performance and crucial metrics to stakeholders.
• Work with diverse teams to devise and assess experiments aimed at enhancing affiliate marketing strategies and ROI.
• Translate complex data findings into clear reports and presentations for operational teams and senior management to facilitate data-driven decision-making.
• Stay updated on industry trends and best practices in affiliate marketing analytics to continuously improve analytical approaches and tools.
• Be effective in a high-paced environment where providing prompt insights and swift execution are vital to maintaining a competitive edge.

Requirements

• Possess a degree in a quantitative discipline such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences.
• Have 5-7 years of full-time experience in an Analytics or Data Science role with a preference for experience in business consulting environments.
• Be a motivated team player capable of quickly learning and applying new tools like proprietary analytical software, data models, and programming languages.
• Bilingual proficiency in English and Mandarin is required to collaborate with international partners.

Competency in at least two of the following areas:

1. Proficiency in an analytical software (e.g., R, SAS).
2. Experience with a data visualization tool (e.g., Qlikview, Tableau, PowerBI).
3. Familiarity with relational or graph database management tools (e.g., SQL, NoSQL, Neo4J).
4. Programming skills (e.g., VBA, C++, Java, Python).

Why Binance

• Contribute to the future with a leading blockchain ecosystem.
• Engage with top-tier talent within a user-focused global organization characterized by a flat structure.
• Address distinctive and fast-paced projects independently within an innovative setting.
• Flourish in a results-driven environment with avenues for career advancement and continuous learning.
• Competitive salary and company benefits.
• Options for work-from-home arrangements based on team requirements.

Binance firmly upholds its commitment to being an equal opportunity employer, recognizing the importance of diversity in achieving success. By applying for a job at Binance, you acknowledge that you have read and accept the Candidate Privacy Notice. Artificial intelligence tools may be leveraged in the hiring process to support application review, resume analysis, and response assessments, complementing human judgment. Final decisions on hiring will remain under human control. For further information on data processing, feel free to reach out.