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The ideal candidate should possess robust data analysis capabilities, be able to efficiently complete KPI targets, drive intelligent data applications, explore cutting-edge applications of AI and automation tools in data management, and be highly passionate about dedicating themselves to the life sciences industry.\nWhat You’ll Do\nMulti-source Information Collection & Management: Collect customer information through various channels such as phone and the internet; responsible for data entry, organization, verification, and regular updates to ensure the accuracy of underlying data\nData Metric Delivery & Alignment: Efficiently achieve multi-dimensional data metric targets in terms of time, quantity, and quality; prepare and deliver relevant business reports and data statements on time, and flexibly undertake ad-hoc tasks\nEfficiency Improvement & Automation: Identify business pain points throughout the entire process and utilize technical tools to achieve automation of tasks and 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