Business Data Monitoring and Performance Review: Plan and maintain monitoring mechanisms for core game operational metrics—covering DAU, user retention rates, payment conversion rates, and other key data. Produce daily, weekly, and monthly operational analysis reports to promptly identify anomalous trends (e.g., rising user churn, declining conversion rates) and perform root-cause analysis with improvement recommendations. Business Project Analysis and Decision Support: Execute project-based data analyses focused on core business scenarios, translating findings into concrete, actionable optimization strategies to support product and operational decision-making. Data Tools and Automated Report Development: Employ SQL and Python to extract, clean, and analyze data according to business requirements. Build automated reports and dashboards to enhance operational efficiency and decision-making accuracy. Industry and Competitor Data Research: Systematically gather industry and competitor data, analyze their product mechanics and operational performance, deliver differentiated strategic recommendations, and uncover potential growth opportunities. Position Requirements Education: Bachelor’s degree or higher, preferably in Statistics, Mathematics, Computer Science, Data Science, or a related field. Experience: Minimum 3 years as a data analyst for online products (e.g., gaming, e-commerce, live streaming). Data Analysis and Visualization Skills: - Proficient in SQL and Python/R, with hands-on experience in libraries such as Pandas, NumPy, and Matplotlib. - Familiar with visualization tools like Tableau, Power BI, and FineBI; able to independently design and build business monitoring dashboards. Deep Business Understanding and Data Sensitivity: - Quickly grasp business processes and core metrics, deriving insights into underlying business logic and key drivers from surface-level data. Problem Analysis and Resolution Skills: - Apply structured analytical thinking to clearly define business problems, decompose key variables through data, and propose actionable optimization plans. Candidates with proven success in driving business performance improvements are preferred. Cross-functional Communication and Implementation Skills: - Translate complex analyses into clear, actionable insights and collaborate effectively with operations, product, and R&D teams to ensure recommendations are implemented and generate tangible impact.