Data Analyst
6 months ago
**Key Responsibilities**:
1. **Proficient in Excel**:
- Demonstrate advanced proficiency in Microsoft Excel, showcasing the ability to manipulate and analyze data efficiently.
2. **Bilingual Communication Skills**:
- Effectively communicate and collaborate with team members in both **Chinese** and English.
- Provide clear and concise explanations of data analyses and insights.
3. **Financial Industry Experience**:
- Preferred experience in the financial industry, with a solid understanding of financial data, terminology, and reporting requirements.
4. **Learning Ability**:
- Demonstrate a proactive approach to learning and adapting to new tools, technologies, and industry trends.
5. **Spreadsheet Expertise**:
- Expertise in both MS Excel and Google Spreadsheet, with the ability to seamlessly transition between the two platforms.
6. **Customized Pivot Tables**:
- Design and create customized pivot tables to efficiently summarize and analyze large datasets.
7. **Graphs**:
- Develop visually appealing graphs and charts to communicate complex financial data in a clear and understandable manner.
8. **Filters with Different Requirements**:
- Implement and manage filters with diverse criteria to extract specific insights from datasets.
9. **Chinese Reading Ability**:
- Ability to read and comprehend documents in Chinese, as some materials related to the financial industry may be in **Chinese.**
**Qualifications**:
- Proven experience in a similar role with a focus on data analysis and Excel proficiency.
- Strong understanding of financial industry concepts and reporting requirements.
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