We are seeking a skilled Data Analyst to join our team. The ideal candidate will have 2-5 years of experience in data analytics, business intelligence, or a related domain. The role involves data exploration, visualization, and reporting, as well as cross-team collaboration and data accuracy management.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Data Analyst (DA)
Salary: 2000-3000$ NET
The company will cover all expenses for accommodation, transportation, and airfare.
Open to relocation to Bangkok or Dubai
🔹 Data Exploration & Insights
- Examine large datasets to identify key trends, patterns, and correlations that drive business decisions.
- Conduct statistical analysis and generate data-driven reports to support strategic planning.
🔹 Visualization & Reporting
- Design intuitive and impactful data visualizations using tools like Tableau, Power BI, or similar.
- Develop interactive dashboards and real-time reports to enhance decision-making.
- Present insights clearly, ensuring alignment with business objectives.
🔹 Cross-Team Collaboration
- Work closely with data scientists, AI engineers, and business units to understand data needs and provide analytical support.
- Act as a liaison between technical and non-technical teams to ensure effective data utilization.
🔹 Data Accuracy & Management
- Ensure data integrity, consistency, and accuracy through validation and cleansing processes.
- Establish and maintain data management workflows to improve efficiency and reliability.
🔹 Optimization & Continuous Learning
- Identify opportunities to enhance data analysis methodologies and tools.
- Stay up to date with industry trends, emerging technologies, and best practices in data analytics.
✅ Experience: 2-5 years in data analytics, business intelligence, or a related domain.
✅ Education:
- Bachelor's degree in Data Science, Statistics, Computer Science, Business, or a relevant field.
✅ Technical Expertise:
- Strong analytical skills with proficiency in Excel, Google Sheets, Python.
- Advanced SQL skills for querying and data manipulation.
- Hands-on experience with data visualization tools (Tableau, Power BI, or similar).
- Sharp problem-solving ability and data-driven mindset.
✅ Soft Skills:
- Strong communication skills—capable of translating complex data insights into actionable business recommendations.
- Detail-oriented with a structured approach to data interpretation.
✅ Preferred Qualifications:
- Familiarity with data engineering and MLOps practices.
- Understanding of data security best practices.
- Experience working with large-scale datasets, especially in industries like banking and e-commerce.