Business Analyst

Key Responsibilities

Requirements Elicitation & Analysis
- Lead workshops with internal and external stakeholders to gather and validate requirements, using AI to prepare question sets, synthesise transcripts and surface gaps.
- Analyze current business processes and identify functional gaps.
- Draft detailed user stories, functional specs and acceptance criteria, using AI to speed up drafting while keeping full ownership of accuracy and completeness.
- Maintain traceability, manage scope changes, and drive sign-offs.

AI-Augmented Delivery
- Turn raw inputs such as meeting notes, client documents and legacy specs into structured requirements and user stories with AI, then validate them with stakeholders.
- Build clickable prototypes and demos with AI-assisted development tools to validate ideas with clients before engineering starts.
- Create small tools, scripts and automations that make daily work easier for yourself and the team, such as spec generators, test data builders and reporting helpers.
- Share prompts, workflows and reusable assets with the team, and help shape how tigerlab uses AI in delivery.
- Apply sound judgment on data privacy and confidentiality when using AI with client and insurance data.

Product Development Support
- Collaborate with Product Managers to shape the roadmap and prioritize features.
- Translate business needs into developer-ready requirements.
- Provide insights from market research and data analysis to guide product decisions.
- Participate in solution architecture and design discussions.
- Ensure every feature aligns with user needs and business goals.

Client Engagement & Implementation
- Lead discovery sessions and client workshops.
- Document custom configurations and oversee implementation.
- Support pre-sales with rapid AI-built prototypes and tailored product demos.
- Coordinate client onboarding, UAT, and training

Process Optimization & Digital Transformation
- Analyze and redesign insurance workflows using tigerlab tools.
- Identify automation and AI opportunities, and lead process improvement initiatives.
- Define and share best practices for recurring insurance use cases.
- Support internal and external digital transformation goals.

Testing & Quality Assurance
- Own the end-to-end testing lifecycle: functional, integration, regression, and UAT.
- Create test plans, coordinate testing, and lead defect triage.
- Generate test scenarios, edge cases and test data with AI, and review them critically for coverage.
- Ensure delivery quality meets business and client expectations.

Data Analysis & Business Intelligence
- Conduct data analysis, including AI-assisted analysis, supporting product development and operational decisions.
- Design KPI frameworks and build dashboards for stakeholders.
- Monitor usage patterns to uncover optimization opportunities.
- Support cross-team decision-making with data-driven insights.

Stakeholder Management
- Act as the bridge between business and technical teams.
- Drive alignment across functions and manage stakeholder expectations.
- Present insights and project updates to leadership.
- Build trusted relationships across clients and internal teams.

Required Qualifications

Education & Experience
- Bachelor's degree in Information Systems, Computer Science, Data Analysis, Statistics, or a related field.

AI Proficiency
- Hands-on, regular use of LLM assistants (e.g. Claude) in professional work, with concrete examples you can show us.
- Strong prompting and context-setting skills: you know how to give AI the right inputs to get useful outputs.
- Critical judgment: you recognise when AI output is wrong, incomplete or invented, and you verify before anything reaches a client or developer.
- Awareness of data privacy, confidentiality and responsible use when working with AI and client data.

Technical Skills
- Strong skills in requirements management tools (e.g. Jira, Confluence).
- Experience with data analysis methods.
- Testing experience including test planning, execution, and automation tools.
- Understanding of API concepts, integration patterns, and digital platforms.
- Knowledge of project management methodologies and the software development lifecycle.
- Experience with insurance management systems or similar enterprise software.
- User experience and design thinking skills to understand client problems, elicit needs and design effective solutions.
- Knowledge of business process modeling (BPMN, UML).

Domain Knowledge
- Good understanding of insurance industry processes (underwriting, policy administration, claims).
- Knowledge of insurance regulations and compliance requirements.
- Understanding of digital transformation challenges in insurance.
- Familiarity with insurance technology trends and market dynamics.

Soft Skills
- Exceptional analytical and problem-solving capabilities.
- Outstanding written and verbal communication skills.
- Strong presentation and facilitation skills.
- Curiosity and a habit of experimenting with new tools and ways of working.
- Willingness to mentor junior team members and share knowledge.
- Client-facing experience with the ability to build trust and credibility.
- Adaptability and resilience in fast-paced, changing environments.

Preferred Qualifications
- Experience building prototypes or apps with AI coding tools (e.g. Claude Code or similar).
- Basic scripting skills (Python or JavaScript), or comfort learning them with AI support.
- Familiarity with Git, APIs and AI connector or integration concepts (e.g. MCP).
- Experience with cloud platforms and SaaS solutions.
- Knowledge of API management and integration platforms.
- Experience with process automation tools and workflow engines.
- 2 years of experience in business analysis, preferably in insurance or financial services.
- Proven track record of managing complex projects and stakeholder relationships.
- Experience with software implementation or product development projects.

What We Offer
- Competitive salary with performance-based bonuses.
- Comprehensive benefits package including health, vision and dental.
- Access to leading AI tools and a team that actively shares and builds AI-driven ways of working.
- Professional development budget and certification support.
- Leadership development opportunities.
- Opportunity to work with industry-leading insurance technology.
- Hybrid working supported (2 days WFH/week)
- Meal allowance according to attendance (RM 200 - RM 500)
- Able to start work anytime between 7 AM to 10.30 AM
- Office at 1 Powerhouse, 5 mins walking distance to LRT & MRT Bandar Utama & 1 Utama