Responsibilities
1. Responsible for data analysis, indicator system construction, business iteration analysis and AB experiment analysis of international payment business 2. Through basic data construction, be able to clearly and completely portray the business status of international payment business 3. Through special data analysis, form data insights and optimization iteration suggestions, and drive the development of international payment business with data.
Qualifications
1. Bachelor degree or above, statistics, mathematics, computer science and other related majors are a plus 2. Proficiency in SQL/Hive/Python/Spark and other language tools for data analysis 3. Solid theoretical and technical foundation in statistics, data mining, proficiency in mathematical tools such as causal inference, statistics and probability theory, familiarity with data mining/machine learning model algorithms such as cluster analysis, association analysis, logistic regression, decision tree, etc. 4. Strong logical thinking ability, data sensitivity, strong data analysis and problem-solving ability, good product awareness, independent thinking and insight into products and data, and strong data-driven awareness 5. Strong learning ability, strong desire for knowledge and enterprising spirit, and active and timely attention to learning the latest technology in the industry 6. Strong sense of responsibility and ownership, good communication and expression skills, positive and optimistic, and good teamwork ability those with relevant data work experience and industry experience in payment, finance, credit and other fields are preferred.
