Senior Data Analyst

Business intelligence (BI) and reporting (70%)

Develop and implement data models, algorithms, and statistical techniques to extract meaningful insights.
Participate in improving the operational efficiency of the business with analysis, reporting, and forecasting.
KPI management, project coordinator (operation, sales process).
Other tasks as assigned on demand.
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.
Create visualizations and reports to communicate findings to stakeholders and management.
Contribute to the development of data- driven strategies and initiatives to improve business performance.

Optimize database (30%)

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

Experience with machine learning algorithms and techniques is a plus.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is desirable.
Strong analytical thinking, business sense and communication skills.
Proven problem- solving skills, and exceptional organizational skills.
Knowing Google BigQuery/Google Sheets is a plus.
Proficiency in SQL, Python, R, or other programming languages for data manipulation and analysis.
Experience with data visualization tools such as Power BI, Google Data Studio, Tableau.
A degree in – Statistics, Economics or related quantitative fields preferred.
Have Experience in F&B industry is a plus.
Interpersonal skills with demonstrated ability to influence outcomes and communicate technical content to general audiences, including ability to “tell story” with data.
Adaptable in fast- growing environment and willing to work under pressure.
At least 2 years of industry experience in the data analytics area.
Detail- oriented with a focus on delivering high- quality work within tight deadlines.

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

Cập nhật gần nhất lúc: 2025-11-27 12:55:03