高级数据分析师
Current● HR data platform construction (20% of the workload)1.Sort out the underlying data structure and business logic of human resources, establish and manage human resources data system2.Promote HR data platform construction, ensure data quality and stability, standardize data standards, improve data acquisition efficiency3.Unified data caliber, reduce internal communication costs● Set up HR dashboard system (70% of the workload)1.From 0 to 1, set up the human resource data analysis index system, output visual reports of each module, and realize data automation2.According to company's actual business and industry data, establish the data diagnosis model, evaluate the health of the organization, timely capture the abnormal human operation, and provide quantitative reference standards for management decisions3.Regularly write special reports based on company strategy and business needs to drive business growth and improve human efficiency through human resource management● Develop data products (10% of work)1.Data measurement tools (e.g., performance data measurement tools, which measure individual/organizational performance according to the company's performance scoring standards)2.Excel tools (customized tools for table splitting and table merging, etc.)