Captiare Limited
System Analyst (AI & Video Analytics)
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Work mode:
Onsite
Published on:
9 September 2026
What they need
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.
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