·Routine Work: Utilized regression analysis to evaluate the relationship between content publication and user engagement. Optimized publication strategies through A/B testing, resulting in the release of over 50 high-quality content pieces monthly and ensuring the acquisition of 100+ new customers per month. For example, optimized publishing times to increase user activity, identified the best title formats to boost click-through rates, and enhanced overall engagement.·Data Reporting: Processed weekly and monthly reports based on requirements, including data attribution analysis. Additionally, contributed to the development of multi-dimensional data dashboards and the optimization of key performance indicators to improve overall departmental efficiency.·Exploratory Analysis: Employed cluster analysis to segment different user groups and used time series forecasting to predict customer churn trends. Regularly developed targeted recall strategies, successfully recalling over 50 customers per month.

·Routine Work: Conducted regression or cluster analysis on 100+ ad orders weekly, generated demand reports, and adjusted 10 sets of visual/print materials to ensure precise ad targeting.·Data Management: Performed regression analysis on 5k+ orders, applied cluster analysis to identify segmentation characteristics, and cleaned and organized 10k+ data entries quarterly. Provided customer churn attribution and proposed at least 5 optimization strategies.·Thematic Analysis: Based on market research and user behavior analysis, proposed product and service optimization suggestions, and contributed to the publication of 4+ in-depth reports quarterly to improve customer satisfaction.