1. Business Analysis&Opportunity Identification: Gain a deep understanding of business drivers, combine with the company's business analysis system, identify and explore potential business opportunities, and drive business optimization and iteration. Regularly collaborate with business teams to evaluate key business indicators and optimize business processes. 2. Understanding Requirements&Data Processing: Quickly and accurately understand business requirements, produce high-quality analysis reports through precise data capture, cleaning, and processing, combined with professional analysis methods and techniques. By precipitating analytical ideas and frameworks, provide data support for strategic decision-making. 3. Data Visualization&Reporting: Responsible for analyzing derivative market data, transforming complex business issues and data discoveries into simple and understandable visual reports, providing actionable recommendations for operational teams and senior decision-making reference. 4. Burial and Operational Data Management/Tagging&Operational Data Management: Responsible for the execution of related burial work and operational requirements, including data cleaning, indicator aggregation, label creation, etc. According to the requirements, collaborate with the product team to design and implement the data logic and monitoring system for the operation backend. Cross functional Collaboration&Support: Work closely with product, technology, and operations teams to drive data-driven decision-making processes and ensure that data analysis aligns with business goals. Regularly provide business feedback and improve data architecture and analysis models.