18 việc làm data analyst

• Data Analysis:
• Analyze large datasets to identify trends, patterns, and correlations that provide insights into business performance.
• Perform statistical analysis and generate reports to support data-driven decision-making.
• Data Visualization:
• Create clear and compelling data visualizations using tools such as Tableau, Power BI, or similar to communicate findings to stakeholders.
• Develop dashboards and interactive reports that provide real-time insights.
• Reporting and Documentation:
• Generate regular reports and present findings to business stakeholders, ensuring clarity and relevance to business objectives.
• Document analytical processes and methodologies to ensure reproducibility and consistency.
• Collaboration and Support:
• Work closely with data scientists, AI engineers, and business stakeholders to understand data needs and provide technical support.
• Facilitate effective communication and collaboration between the AI and data teams and other departments.
• Data Quality and Management:
• Ensure the accuracy, integrity, and consistency of data by performing regular data validation and cleansing.
• Develop and implement data management processes to support high-quality data analytics.
• Continuous Improvement:
• Identify areas for improvement in data analysis processes and methodologies.
• Stay updated with the latest industry trends and technologies related to data analytics and visualization.

Job requirement

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field.
• Minimum of 2-4 years of experience in data analytics, business intelligence, or a similar role.
• Proven experience in analyzing large datasets and generating actionable insights.
• Strong background in using data visualization tools (e.g., Tableau, Power BI).
• Proficiency in data analysis and statistical tools (e.g., Excel, Google Sheet, Python).
• Strong knowledge of databases and SQL for data querying and manipulation.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication skills, both verbal and written, with the ability to convey complex data insights to non-technical stakeholders.

Preferred Qualifications:

• Understanding of data engineering and MLOps methodologies.
• Awareness of security best practices in data environments.
• Experience working with organizations that have a large customer base, such as banks and e-commerce companies.

• Assistance with accommodation, living expenses, and work visa procurement for all staff.
• Financial assistance for employees to visit home fourth a year.
• A salary package that reflects your skills, experience, and contributions to the company.
• Provision of necessary work equipment, including a MacBook and iPhone.
• Continuous development of hard and soft skills through work and professional training.
• A holiday and New Year bonus to recognize your hard work and dedication.
• A professional, dynamic, and inclusive workplace culture that fosters collaboration and innovation.