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Zempot Malaysia seeks a data analyst to drive data-driven insights for online table games. You will analyze game data, identify patterns, and help improve fairness and player experience across the platform.
The role requires strong SQL, Excel/Sheets skills, and experience with BI tools; familiarity with Python or R and fraud detection is a plus. Excellent English communication is essential.
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Analyze game data with a strong understanding of online table games
Improve game fairness and player experience through data-driven insights
Identify and classify normal vs. suspicious player accounts (e.g., abuse, bots, fraud)
Investigate abusive behaviors and develop mitigation strategies
Conduct trend analysis based on game data and generate actionable insights
Apply statistical methods to identify patterns, trends, and correlations
Prepare reports and presentations to communicate findings to stakeholders
Document data analysis processes to ensure reproducibility and clarity
Proficiency in SQL (required)
Strong skills in Excel or Google Sheets
Solid understanding of data analysis and basic statistics
Strong problem-solving skills and analytical thinking
Interest or experience in gaming (especially online table games)
Good communication skills in English (working proficiency)
Experience table games industry
Experience with Python, R, or other data analysis tools
Experience in fraud detection or abuse monitoring
Familiarity with BI tools such as Tableau or Power BI
Experience with machine learning models is a plus