Công ty TNHH Dịch Vụ Tiếp Vận Toàn Cầu
Nhân Viên Kinh Doanh - Toàn thời gian
Nhân Viên Kinh Doanh - Toàn thời gian
Ngày đăng:
02/04/2024
Hạn nộp Hồ sơ:
02/04/2024 - 30/09/2024
Chức vụ
Nhân Viên Kinh Doanh - Nhân Viên Kinh Doanh
Mức lương
Thỏa thuận
Hình thức trả lương
Lương theo Tháng
Hình thức làm việc
Trực tiếp
Số lượng cần tuyển
1
Giới tính
Nam, Nữ
Nơi làm việc: Hồ Chí Minh
Mô tả công việc
1. Data Collection and Analysis: Collect, clean, and analyze large datasets to extract valuable insights and patterns.
2. Data Interpretation: Interpret data, analyze results using statistical techniques, and provide ongoing reports to support strategic decision-making.
3. Data Visualization: Create compelling visualizations (charts, graphs, dashboards) to effectively communicate findings and trends to both technical and non-technical audiences.
4. Identify Trends and Patterns: Identify trends, patterns, and correlations in complex data sets to provide actionable recommendations.
5. Collaboration: Collaborate with cross-functional teams to understand data-related requirements and provide support in data-driven decision-making processes.
6. Data Quality Assurance: Ensure data accuracy, completeness, and reliability by implementing quality checks and validation processes.
7. Continuous Improvement: Stay updated with industry best practices, tools, and technologies to optimize data analysis processes and techniques.
Yêu cầu
- At least 1 year of experience in the field.
- Bachelor’s degree in Logistics, Economics, or related field.
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in data analysis tools such as Excel-Google Sheet, SQL, Python, R, or other statistical software.
- Strong analytical and problem-solving skills with the ability to work with complex datasets.
- Experience in data visualization tools like Google Looker Studio, or similar platforms.
- Excellent communication skills with the ability to present complex information in a clear and understandable manner.
- Detail-oriented mindset with a focus on accuracy and precision.
Preferred Qualifications:
- Degree in a quantitative field.
- Knowledge of big data technologies
Quyền lợi