System Analyst (AI & Video Analytics)

Location: Hong Kong
Job Type: Contract
Industry: IT & Telecoms
Reference: 43217_1788923017
Job Published: September 09, 2026

Key Responsibilities

  • Lead the delivery of IT solutions by conducting user requirement analysis, system analysis, solution design, testing, implementation, and post-deployment support.
  • Manage vendors, business partners, and contractors to ensure projects are delivered on time, within budget, and to the required quality standards.
  • Drive continuous improvement and digital transformation initiatives through technologies such as Video Analytics, Data Analytics, and customer engagement platforms.
  • Ensure adherence to application architecture standards, development best practices, and System Development Life Cycle (SDLC) methodologies.
  • Oversee system documentation, design reviews, testing, deployment, and implementation activities.
  • Lead support and maintenance activities for business-critical applications and platforms.
  • Collaborate with stakeholders to identify business needs, propose technology solutions, and enhance operational efficiency.
  • Coordinate system enhancements, upgrades, and production changes, including occasional support outside normal business hours.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Information Systems, Systems Engineering, or a related discipline.

  • Minimum 4 years of experience in IT application development, system implementation, or application support.
  • Proven experience in requirement gathering, system analysis and design, solution delivery, and production support.
  • Experience managing vendors and coordinating project delivery across multiple stakeholders.
  • Hands-on experience in data analytics platforms, enterprise applications, or digital transformation projects.
  • Exposure to Video Analytics, Data Analytics, Web Applications, JavaScript, or Elasticsearch is highly desirable.
  • Strong understanding of System Development Life Cycle (SDLC) and software delivery best practices.
  • Experience in large-scale enterprise environments is an advantage.