Build an e-commerce product metric system, monitor data anomalies, and promptly identify product business risks.
Provide professional data support for corresponding business product decisions in e-commerce scenarios.
Explore and analyse data to uncover business opportunities or product improvement directions, and produce well-organised, rigorously argued analysis reports.
Actively collaborate with various & relevant departments to improve quality of data collection and oversee the implementation of the analysis recommendations.
Explore & implement new AI tools to improve analysis efficiency & quality.
Requirements
Bachelor's degree or above in Statistics, Mathematics, Computer Science or other relevant majors, with minimally 1 year of internet industry experience preferred.
Strong foundation in mathematical statistics, high data sensitivity, rigorous logical thinking, able to independently conduct data analysis-related work
Proficient in SQL syntax, attentive to SQL performance. Python is preferred
Proficiency in data mining algorithms and big data-related technologies preferred
Be sensitive to data, excellent business comprehension and logic, good at communication and expression
Familiar with Product strategy, project management, teamwork, and creative solutions
Flexibility to learn new skills and knowledge
Energetic, positive attitude and team player
Highly motivated, structured and methodical with a high degree of initiative
