Lead Data Analyst

**Mô tả công việc**:
(Mức lương: 75 - 100 triệu VNĐ)
About the Role:
As a Senior Data Analyst, you will play a critical role in transforming raw data into actionable insights that drive strategic initiatives. You will collaborate with cross-functional teams to identify business needs, develop analytical frameworks, and deliver comprehensive reports and dashboards. Your expertise in data analysis, statistical methods, and visualization tools will be essential in guiding data-informed decision-making across the organization.

**Responsibilities**:

- Data Analysis & Interpretation:

- Conduct in-depth analysis of complex datasets to identify trends, patterns, and anomalies.
- Utilize statistical techniques to interpret data and provide meaningful insights to stakeholders.
- Reporting & Visualization:

- Design and develop interactive dashboards and visualizations using tools such as Tableau, Power BI, or similar platforms to track product performance and trends.
- Create comprehensive reports that communicate findings to both technical and non-technical stakeholders.
- Collaboration & Communication:

- Work closely with business units to understand their data needs and develop analytical solutions that support their objectives.
- Present findings and recommendations to senior management and other stakeholders in a clear and concise manner.
- Collaborate with multiple departments to provide appropriate analytical solutions.
- Data Management & Quality Assurance:

- Ensure data integrity and accuracy by developing and implementing data validation processes.
- Collaborate with IT and data engineering teams to optimize data collection, storage, and retrieval processes.
- Mentorship & Leadership:

- Mentor junior analysts in data analysis methodologies, tools, and best practices.
- Lead data analysis projects from inception to completion, ensuring alignment with organizational goals.
- Lead data analysis team, orient and train team members.
- Continuous Improvement:

- Stay current with industry trends, tools, and best practices in data analysis and visualization.
- Identify opportunities for process improvements and efficiencies in data analysis workflows.

**Chức vụ**: Trưởng Nhóm/Trưởng Phòng

**Hình thức làm việc**: Toàn thời gian

**Quyền lợi được hưởng**:
**Benefits**:

- Employee Support: Assistance with accommodation, living expenses, and work visa procurement for all staff.
- Home Visit Support: Financial assistance for employees to visit home fourth a year.
- Competitive Salary: A salary package that reflects your skills, experience, and contributions to the company.
- Essential Equipment: Provision of necessary work equipment, including Monitor, MacBook and iPhone.
- Development: Continuous development of hard and soft skills through work and professional training.
- Holiday Bonus: A holiday and New Year bonus to recognize your hard work and dedication.

Inclusive Environment: A professional, dynamic, and inclusive workplace culture that fosters collaboration and innovation.

**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề

**Yêu cầu công việc**:
**Requirements**:

- Education:

- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master’s degree is preferred.
- Experience:

- 6+ years of experience in data analysis, with a proven track record of delivering actionable insights in a business context.
- Experience in a senior or lead analyst role is highly desirable.
- Technical Skills:

- Proficiency in SQL and experience with relational databases.
- Proficiency in using tools such as Looker, Metabase, Power BI, PostgreSQL, MySQL, and MongoDB.
- Knowledge of Python, R and ETL tools (Extract, Transform, Load) is an advantage.
- Knowledge of statistical analysis methods and tools.
- Soft Skills:

- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to convey complex data concepts to non-technical audiences.
- Proven ability to work collaboratively in a team environment.

**Yêu cầu giới tính**: Nam/Nữ

**Ngành nghề**: Data Analytics,IT Phần Mềm,SQL

Trung cấp - Nghề
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