Data Analyst
- Completed periodic, daily, and thematic data analysis; used tools to build data reports for data support; assisted in solving business problems through data analysis.
- Understood business processes, participated in data analysis tasks, and helped identify the causes of short-term, medium-term, and long-term data fluctuations, pinpoint business pain points, and describe trends.
- Explored business opportunities by analyzing/mining data and contributed unique insights into the business.
- Coordinated with multiple business departments to support business needs and complete data collection and data analysis.
- Collaborated across departments, communicated analysis results clearly, and supported the follow-up of conclusion implementation.
- Bachelor's degree or above, with 2-5 years of relevant data analysis experience. Possess excellent logical analysis ability, outstanding information collection and screening ability, and systematic thinking and problem-analysis ability.
- Proficient in SQL and Excel; familiar with common BI tools (such as Tableau, Power BI, etc.); proficient in Python/R.
- Possess data sensitivity and logical thinking ability, and be willing to learn business knowledge.
- Possess data visualization ability and be able to create clear data reports.
- Background in cross-border logistics or cross-border e-commerce industry is preferred.
- Proficient in Mandarin, capable of conducting daily work conversations.
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