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Core Responsibilities 🔹 Responsibilities 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 Perform data cleaning (filtering, handling missing values, error correction) to ensure data quality 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 🔹 Requirements 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) 🔹 Preferred Qualifications Experience table games industry Experience with Python, R, or other data analysis tools Experience in fraud detection or abuse monitoring Experience handling large-scale datasets Familiarity with BI tools such as Tableau or Power BI Experience with machine learning models is a plus