星巴克中国
Manager, Personalized Marketing(J105203)
岗位职责
Responsibilities and essential job functions include but are not limited to the following: ◆ Design personalized member operation mechanisms and campaigns, conduct end-to-end effect tracking and continuous optimization, and drive the sustainable growth of member lifetime value (LTV). ◆ Responsible end-to-end instore commercial projects, coordinate cross-function resources, and ensure smooth project implementation and landing. ◆ Conduct user-centric data analysis and in-depth crowd insight, continuously track business and campaign performance, and output data-driven optimization suggestions to support operational iteration.
任职要求
Required Experience, Knowledge, Skills and Abilities ◆ Proficient in member data analysis and user insight. Familiar with core member metrics and relevant logic, and able to deeply interpret the business implications of data indicators to support data-driven business decisions. ◆ Experienced in refined crowd operation. Familiar with full-lifecycle member management including user segmentation, layered operation and precise reach. Capable of designing targeted operation strategies for different member groups to improve user activity, retention and conversion. ◆ Skilled in data analysis tools. Able to independently conduct member data sorting, analyzing and reporting, identify operational pain points, user demands and growth opportunities via data analysis. ◆ Familiar with mainstream membership operation models, membership rights, point rules and incentive mechanisms. Able to iterate and optimize member operation strategies based on data insights. ◆ Possess strong data sensitivity, logical thinking and business awareness. Able to translate data insights into actionable operational solutions and track implementation results. ◆ Good at cross-team communication and collaboration, able to cooperate with product, marketing and other teams to drive member growth and operational optimization projects. ◆ Relevant experience in e-commerce, retail or internet platform member operation and data analysis is preferred.
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