Data Analyst

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.