GoTymeX
Data Analyst
- Compensation
- Not disclosed
- Location
- Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Programming: Strong SQL expertise including complex queries, CTEs, window functions, and optimization
- Languages: Proficiency in Python or PySpark for data manipulation and analysis
- Statistics: Solid foundation in statistical analysis, hypothesis testing, and experimental design
- Data Visualization: Experience with BI tools (Looker preferred, Tableau, or similar)
- Experience with Databricks
Nice to have
- Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
- Experience with big data technologies and cloud platforms
- Machine learning and AI knowledge
- Previous experience in high-growth startup environments
- Familiarity with data modeling using statistical algorithms
- Experience building automated testing and monitoring systems
Full 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 ResponsibilitiesData 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.
Requirements1. Technical Skills
- Programming: Strong SQL expertise including complex queries, CTEs, window functions, and optimization
- Languages: Proficiency in Python or PySpark for data manipulation and analysis
- Statistics: Solid foundation in statistical analysis, hypothesis testing, and experimental design