Business Intelligence Analyst

  • Kuala Lumpur
  • Permanent
  • Full-time
  • 15 days ago
Job Title: Data Business Intelligence (Mandarin Speaker) Reports to: Operations Director Role Overview Responsible for analyzing customer behavior, operational data, and marketing performance, leveraging data insights to drive product optimization and business growth. Work closely with product, operations, and marketing teams to provide actionable analysis results and strategic recommendations. Key Responsibilities 1. Data Collection & Cleaning Gather raw data from multiple channels, including game databases, user behavior logs, backend systems, and third-party platforms (e.g., advertising platforms, payment platforms). Perform data cleaning, standardization, and preprocessing to ensure data quality and consistency. 2. Player Behavior & Operations Analysis Analyze user lifecycle metrics (DAU, MAU, retention rate, payment rate, churn rate, etc.) and identify key influencing factors. Track user in-game behavior paths, feature usage, conversion funnels, and evaluate the effectiveness of game design. Assess the impact of new feature releases, event execution, and version updates on player behavior and revenue (A/B testing analysis). 3. Revenue & Market Analysis Analyze recharge data, advertising ROI, and other key business metrics to identify revenue trends and potential risks. Track advertising performance (e.g., user acquisition cost, ROAS, retention, conversion) and provide data support to the marketing team. Deliver regional and channel-based revenue/traffic performance comparisons to support operational decision-making. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field. Experience as a Data Analyst or in a similar role (minimum 2 years preferred). Proficient in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau). Strong analytical skills, capable of collecting, organizing, and analyzing large volumes of information. Experience with statistical analysis and/or scripting languages (e.g., Python, R) is a plus. Strong communication and presentation skills. Excellent problem-solving ability and high attention to detail. Show more Show less

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