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Digital Customer Engagement, eCommerce Specialist

Job not on LinkedIn

🔥 0 minutes ago

🇨🇳 China – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏆 Customer Success

🗣️🇨🇳 Chinese Required

Where this job comes from

Posted on Agilent Technologies's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Agilent Technologies

Agilent Technologies

10,000+ employees

Founded 1999

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

💰 $500M Post-IPO Debt on 2019-09

Food & Beverage • Healthcare • Consulting

Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.

📋 Description

• 利用AI、数字营销工具、社交媒体等扩大长尾及低频客户的有效覆盖,提升客户互动和业务可见度。 • 运用数据分析工具分析客户交易历史、购买频率、产品组合、互动及行为数据。 • 通过客户分层、购买趋势及潜在需求识别,发现新客户、新需求、交叉销售及潜在业务机会。 • 将数据洞察转化为可执行的客户触达和转化行动。 • 识别沉睡及流失风险客户,分析客户购买行为和流失原因,制定客户唤醒、补货提醒、复购及留存策略。 • 推动Online Store的客户获取、转化和复购。 • 探索第三方采购平台、客户采购系统及其他数字渠道合作机会,提升客户采购便利性和粘性。 • 探索AI在客户分群、流失预测、产品推荐、机会识别及自动化触达中的应用。 • 持续优化客户旅程和销售工作流程。

🎯 Requirements

• 本科及以上学历,市场营销、电子商务、商业管理、生物信息学、化学或相关专业优先。 • 3年以上数字营销、B2B电商、客户运营、分析仪器或色谱耗材营销相关经验优先。 • 具备较强的 数据分析和客户洞察能力 ,能够运用Excel、Power BI或其他数据分析工具,对客户交易和行为数据进行分析,并将数据洞察转化为客户分层、机会识别、客户激活及留存行动。 • 熟悉CRM、营销自动化、企业微信、社交媒体、电商平台或数字分析工具,有Salesforce、Power BI等相关经验优先。 • 对 AI和数字化客户运营 有较强兴趣及实践能力,有客户分群、智能推荐、流失预测或自动化营销经验优先。 • 具备良好的跨部门协作和中英文沟通能力,主动学习并乐于探索新技术,能够独立推进项目并与跨职能团队有效合作。 • Travel Required: 10% of the Time

🏖️ Benefits

• Pay and benefit information by country is available at https://careers.agilent.com/locations • Full time weekly schedule • Day shift

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