Data Analyst (Sql, Python, Tableau, Power Bi)

**Key Responsibilities**:- Data Collection and Analysis: Collaborate with cross-functional teams to gather and analyze game-related data, including player behaviour, in-game transactions, and performance metrics.- Data Visualization: Create insightful and easy-to-understand data visualizations, dashboards, and reports to communicate key findings to stakeholders.- Player Insights: Identify trends and patterns in player behaviour, demographics, and preferences to enhance player experiences and engagement.- A/B Testing: Design and execute A/B tests to evaluate the impact of game updates and features on player engagement and monetization.- Performance Optimization: Work closely with game developers to optimize game performance, identify bottlenecks, and recommend improvements.- Predictive Analytics: Utilize statistical and machine learning techniques to build predictive models for player churn, spending patterns, and other relevant metrics.- Data Quality Assurance: Ensure data accuracy and integrity by implementing data validation processes and quality checks.**Qualifications**:- Fresh graduates are welcome to apply!- Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, or a related discipline). Advanced degree preferred.- Proven experience in data analysis, preferably in the gaming industry.- Mandarin speaking required to deal with stakeholders.- Proficiency in data analysis tools such as SQL, Python, or R.- Strong data visualization skills using tools like Tableau, Power BI, or similar.- Familiarity with statistical analysis and A/B testing methodologies.- Excellent communication skills with the ability to present complex data findings to both technical and non-technical stakeholders.- Self-motivated, detail-oriented, and able to work independently as well as part of a team.- Passion for gaming and a deep understanding of gaming mechanics and player behaviour is a plus.Whatsapp/call 016-2693503(Bryan) for immediate screening**Salary**: Up to RM12,000.00 per monthSchedule:- Day shift- Monday to FridayApplication Question(s):- Are you proficient in data analysis tools such as SQL, Python, or R?**Education**:- Bachelor's (preferred)**Language**:- Mandarin (preferred)Ability to Commute:- Kuala Lumpur (required)Ability to Relocate:- Kuala Lumpur: Relocate before starting work (required)