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PfizerPosted 1 month ago

(高级)市场助理

On-siteShanghai, Shanghai, China

Full TimeSenior LevelEnterprise

Job Summary

Manage complex global calendars, schedule high-level meetings, and coordinate travel arrangements and expenses for multiple leaders. Oversee incoming and outgoing mail, create distribution lists, and maintain organizational charts and electronic files. Handle purchase orders, track invoices, and manage meeting minutes while ensuring sensitive correspondence is handled appropriately. Prioritize urgent issues, expedite workflows, and provide backup assistance in a self-directed environment. Work independently with strong attention to detail and proficiency in Microsoft Office, Concur, and WebEx.

Required Qualifications

  • High School Diploma or GED
  • at least 4 years of experience
  • Strong interpersonal skills
  • Problem solving ability
  • Demonstrated ability to proactively carry out administrative functions proficiently and complete quality work in a timely manner
  • Excellent attention to detail, time management, organization, and prioritization skills
  • Expert knowledge and proficiency with general office procedures such as telephone reception, customer service, and e-mail etiquette
  • Experience coordinating domestic and international travel
  • Strong verbal and written communication skills
  • Proficient in Microsoft Word, Excel, PowerPoint, and Outlook

Desired Qualifications

  • Experience in ERP systems
  • Experience using applications such as Concur, WebEx, and Ariba
  • Excellent interpersonal skills and the ability to work collaboratively with diverse teams
  • Adaptability and flexibility in a fast-paced environment
  • Proactive approach to identifying and addressing issues
  • Ability to maintain confidentiality and handle sensitive information with discretion
  • Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity
  • Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use

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