Data Analyst

Business intelligence (BI) and reporting (70%)

Create visualizations and reports to communicate findings to stakeholders and management.
Other tasks as assigned on demand.
Participate in improving the operational efficiency of the business with analysis, reporting, and forecasting.
Develop and implement data models, algorithms, and statistical techniques to extract meaningful insights.
Contribute to the development of data- driven strategies and initiatives to improve business performance.
Perform exploratory data analysis to identify trends, patterns, and anomalies.
Build a key data dashboard to empower operational and exploratory analysis.
Ownership of conceptualizing, developing, and maintaining dashboards and visualizations.
KPI management, project coordinator (operation, sales process).

Optimize database (30%)

Review data and dashboard periodically to make sure all reports be up- to- date and accurate.
Assist in the development and maintenance of data pipelines and workflows.
Work with other members to implement, integrate and optimize our existing systems.
Collect and preprocess data from various sources, ensuring data integrity and accuracy.

Detail- oriented with a focus on delivering high- quality work within tight deadlines.
Experience with data visualization tools such as Power BI, Google Data Studio, Tableau.
Proven problem- solving skills, and exceptional organizational skills.
Experience with machine learning algorithms and techniques is a plus.
01 year of industry experience in the data analytics area.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is desirable.
Strong analytical thinking, business sense and communication skills.
Proficiency in SQL, Python, R, or other programming languages for data manipulation and analysis.
Adaptable in fast- growing environment and willing to work under pressure.
Interpersonal skills with demonstrated ability to influence outcomes and communicate technical content to general audiences, including ability to “tell story” with data.
Knowing Google BigQuery/Google Sheets is a plus.
A degree in – Statistics, Economics or related quantitative fields preferred.
Have Experience in F&B industry is a plus.

Salary: Competitive salary.
The probationary salary is 100%.
Annual Leave is 12 days/year.
Working time is 9:00- 18:00, 5 days/week.
Salary review once a year in December.
Provide laptop and necessary equipment.
A challenging working environment, and an extra steep learning curve.

Cập nhật gần nhất lúc: 2026-01-11 00:25:03