Tasks and Responsibilities:

• Collect, clean, and process data from various sources (both internal and external).
• Conduct statistical and exploratory analysis to identify relevant trends, patterns, and insights.
• Build dashboards and visual reports using tools such as Excel, Tableau, Power BI, or Google Data Studio.
• Collaborate with cross-functional teams (such as marketing, product, and management) to support data-driven decision-making.
• Make recommendations based on analysis results to improve business efficiency, customer experience, or product performance.
• Ensure data quality and integrity and perform regular data audits.
• Develop and manage data pipelines and analytics automation as needed (using SQL, Python, or R).

• Minimum bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Work experience as a Data Analyst or in a similar position for at least 1–2 years (more experience is preferred).
• Proficient in data analysis and visualization tools such as Excel, SQL, Python, R, Tableau, or Power BI.
• Able to think analytically and critically with a strong attention to detail.
• Communicative and capable of clearly explaining analysis results to non-technical stakeholders.
• Understanding of basic concepts in databases, statistics, and predictive modeling is a plus.