Senior Business Analyst (35k -45k, General Insurance Claims Operation)

Salary: $35,000 – $45,000 per month

Key Responsibilities

• Strategic Analysis and Transformation Insurance Claims Operations: Serve as the primary Business Analyst to lead digital transformation and business process reengineering initiatives across departments.

• Stakeholder Engagement: Collaborate with Operations and IT teams to identify improvement opportunities, analyze operational challenges, and document clear business requirements.

• Project Planning: Conduct feasibility studies and gap analyses to define project scope and prioritize initiatives within the Agile sprint planning cycle.

• System Development: Partner with IT development teams to guide system enhancements and facilitate test-driven development.

• Quality Assurance: Manage the end-to-end User Acceptance Testing (UAT) process, including test planning, case design, and execution.

• Implementation and Enablement: Oversee business implementation and ensure successful adoption by creating training materials and conducting end-user sessions.

• Project Support: Assist with necessary project coordination and administrative tasks to maintain workflow efficiency.

Key Requirements

• Education: Bachelor’s degree in Insurance or a related discipline, or equivalent professional qualification.

• Experience: A minimum of 3 years of experience in business analysis, systems analysis, or medical/P&C claims processing.

• Critical Thinking: Demonstrated analytical skills with the ability to provide integrated, critical solutions to complex business problems.

• Communication: Exceptional interpersonal and presentation skills, with the ability to influence stakeholders at all levels.

• Technical Proficiency: Advanced PC skills, including proficiency in MS Word, Excel, and Chinese word processing.

• Language Skills: Proficiency in both English and Cantonese.

• Mindset: A proactive, collaborative team player with a strong passion for continuous learning and a specific interest in applying Data and AI technologies to solve practical business challenges.