Assistant Operations Analyst 助理操作分析主任

Modern Terminals Ltd

  • Kwai Chung, Hong Kong
  • Permanent
  • Full-time
  • 8 days ago
Modern Terminals’ success as a container terminal operator in Hong Kong and Mainland China has been built and sustained by consistently providing customer focused services, and delivering a unique customer experience that aligns with our Brand Promises. We achieve this through the commitment and involvement of all our people, and by aligning our operations and actions with our values of Trust, Accountability and Teamwork.The RoleThe job holder’s major responsibilities are to:
  • Consolidate data from different sources and prepare regular reports for operations performance monitoring and analysis
  • Provide ad-hoc support for analytical duties and projects when necessary
The PersonThe ideal candidate should have/be:
  • Degree in Industrial Engineering / Operations Management / Logistics Management or other related disciplines with 1-year relevant experience, or
  • Diploma with 4 years relevant experience, or
  • Form 5 or above with 6 years relevant experience
  • Preferable with database management knowledge and experience in MS Excel (Macro and VBA), MS Access, SQL, etc.
  • Proficient in written and spoken English & Chinese
  • Good communication and interpersonal skills
  • Self-motivated, good team player and able to work under pressure
We offer competitive remuneration package to the right candidate(s). Please apply in confidence with full resume, present and expected salary and contact telephone number, by clicking Apply Now.WhatsApp Hotline: 62838297To know more about our Company and benefits, please click [ HERE] to view a video for further details.We are an equal opportunity employer and welcome applications from all qualified candidates. Personal data collected will be treated in the strictest confidence and only be used for recruitment related purpose. Applicants not invited for interview in 6 weeks after job posting may consider their application unsuccessful and your personal data will be destroyed after a period of one year.

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