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, major in statistics, mathematics, computer science and other related majors 2. Proficient in using SQL/Hive/Python/Spark and other language tools for data analysis 3. Solid theoretical and technical foundation in statistics, data mining, proficient in mathematical tools such as causal inference, statistics and probability theory, familiar with data mining/machine learning model algorithms such as cluster analysis, association analysis, logistic regression, and decision trees 4. Strong logical thinking ability, sensitive to data, 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 7. Those with relevant data work experience and industry experience in payment, finance, credit and other fields are preferred.
