Data Analyst
2 days ago
**Thông tin việc làm**:
**Nơi làm việc**:
- Hồ Chí Minh (Quận 1)
**Cấp Bậc**:
- Nhân viên
**Hình Thức**:
- Nhân viên chính thức
**Bằng Cấp**:
- Đại học
**Kinh Nghiệm**:
- 2 - 4 Năm
**Mức Lương**:
- Lương thỏa thuận
**Ngành nghề**:
- CNTT - Phần mềm
**Phòng Ban**:
- Công nghệ thông tin
**Hạn chót nhận hồ Sơ**:
- 04/03/2025
**Phúc Lợi**:
- Máy tính xách tay
- Bảo hiểm
- Du Lịch
- Phụ cấp
- Thưởng
- Chăm sóc sức khỏe
- Đào tạo
- Chế độ nghỉ phép
**Mô tả công việc**:
- Analyze business issues through data, asking the right questions, and extracting insights to identify
potential growth drivers or pinpoint weaknesses in current business operations.
- Translate data into clear, compelling, and understandable stories to foster alignment among
management teams. Interpret metrics within the business context, forecast trends, and evaluate their
impact on operations.
- Collaborate with the technical team to collect and process data from various sources. Design and
implement business reports to monitor and evaluate performance.
- Assess the effectiveness of trade/marketing programs. Work with relevant stakeholders to develop
reports/tools related to trade/marketing, enabling departments to execute strategies effectively.
- Analyze and provide actionable business and market insights to support strategic decision-making by
leadership teams.
- Develop and propose predictive models and trend analyses to improve business performance.
- Assist in validating and ensuring the accuracy of data.
**Yêu cầu công việc**:
- Bachelor's degree in Economics, Statistics, Marketing, Business Administration, or related fields.
- At least 1 year of experience in data analysis or related fields in FMCG and Trade Marketing.
- Preferably experienced in Trade/Marketing or as a Data Analyst in Trade/Marketing/DMS/Sales within FMCG.
- Proficiency in creating reports and dashboards using Power BI, Tableau, or similar tools.
- Experience with SQL, Python, or R for data processing is a plus.
- Knowledge of data modeling and predictive analysis.
- Strong ability to handle large datasets and work with systems.
- Excellent communication and collaboration skills.- Proactive mindset with the ability to work independently.
- Strong analytical thinking and problem-solving abilities.
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