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1. Experience in business analysis/data analysis in retail or e-commerce industry, or experience in user growth, statistics/mathematics/computer science majors are preferred 2. Proficient in SQL, Python/R and other analysis tools, good data modeling and business decomposition capabilities, able to independently produce analysis reports, familiar with commonly used data mining/machine learning algorithms 3. Good logical analysis ability and data sensitivity, able to extract core results from massive data, and timely discover and analyze the implicit changes or problems behind the business 4. Have innovative consciousness and good logical analysis and data sensitivity, and be able to judge and make decisions on the business through data-based means 5. Strong cross-team collaboration ability, optimistic and tough, embrace change, have a sense of necessity and entrepreneurial spirit, and be full of positive energy, 1. Responsible for the data analysis of the pharmaceutical e-commerce business line, build a business indicator system and monitoring framework, and provide business insights and strategic support for industry operations 2. Based on industry pain points, use a variety of analysis means and methods to explore business models and business opportunities, diagnose business problems and evaluate operational results 3. Sediment the monitoring system and analysis methods into data product requirements, carry out cross-departmental cooperation and promote the implementation and iteration of data products 4. Provide data-related concepts, skills and tool training to the industry operation team to enhance the industry's data-based operation capabilities, and promote technology to improve data analysis capabilities
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