Data Analyst
1 week ago
Responsible for collecting, organizing, and analyzing various types of statistical data within the company, including market research, sales data, and user behavior, to support decision-making.
- Proficiently use statistical tools to generate detailed data reports and visualizations, presenting analysis results to management and various departments.
- Regularly monitor data quality to ensure accuracy, completeness, and consistency, identifying and correcting any anomalies or errors in the data.
- Assist different departments in identifying data needs, providing data support and analytical recommendations to help optimize operations and decision-making.
- Utilize data mining and modeling techniques to uncover potential trends and patterns, offering forward-looking insights to inform company strategy.
- Participate in various company projects, providing data analysis support, and maintaining effective communication and collaboration with team members to ensure project success.
- Stay updated on the latest data analysis tools and techniques in the industry, continuously enhancing personal skills and optimizing data analysis processes and methodologies.
**Requirements**:
- A diploma or higher in relevant field, preferably in statistics, mathematics, economics, computer science, or a related field.
- Familiar with programming language like R, Python, etc
- Strong data analysis skills and logical thinking, capable of extracting valuable insights from complex data sets.
- Excellent communication skills, able to present complex analysis results in a clear and understandable manner to non-technical stakeholders.
**Benefits**:
- Health insurance
- Opportunities for promotion
- Professional development
Schedule:
- Monday to Friday
Supplemental Pay:
- Performance bonus
- Yearly bonus
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