- Location
- Ho Chi Minh City, Ho Chi Minh City, Vietnam · published
- Type
- Full-time
- Source
- Workable
Description
About This Role:
We’re looking for a Data Analyst who’s excited to dig into the numbers, uncover insights, and help the business make smarter decisions. In this role, you’ll partner with teams across the company to understand their questions, explore the data, and turn your findings into clear, practical recommendations.
While your main focus will be analysis and storytelling, you’ll also bring solid technical skills to the table — helping us build reliable datasets, improve reporting, and make sure our data is accurate and easy to use. You’ll play a big part in strengthening our data-driven culture by making information more accessible and empowering colleagues to use data with confidence.
Key Responsibilities
Data Exploration & Modeling
- Collect, clean, and analyze data from multiple sources to support business needs.
- Build and maintain core analytical datasets and reports for cross-functional teams.
- Ensure accuracy, consistency, and reliability of data through validation and quality checks.
- Apply statistical and analytical techniques to uncover trends and opportunities.
Business Partnership & Strategic Analysis
- Collaborate with business stakeholders to understand requirements and deliver actionable insights.
- Conduct in-depth analyses on customer behavior, product usage, and market trends.
- Translate complex data findings into clear, impactful recommendations for business strategy.
- Support data-driven decision-making across marketing, operations, finance, and product teams.
Analytics
- Develop dashboards and KPI tracking tools to monitor business performance.
- Design and execute experiments (e.g., A/B tests) to evaluate initiatives.
- Present insights clearly and compellingly to technical and non-technical audiences.
Team Development & Knowledge Sharing
- Promote data literacy by helping colleagues understand and leverage analytical tools.
- Share best practices in data analysis, visualization, and reporting.
- Contribute to documentation and training to enhance organizational analytics maturity.
- Dedicate a portion of time to cross-team projects that enhance company-wide data capabilities.