QA Tester (機能テスター) with 4+ years of hands-on experience in software testing. The candidate should have strong knowledge of testing methodologies, SDLC/STLC, and hand-on experience in functional testing. Experience in the insurance domain is a plus but not mandatory.
Key Responsibilities:
- Analyse business requirements and functional specifications related to applications.
- Design, develop, and execute test cases and test scenarios.
- Perform Sprint, Regression, Integration, System and System Integration Testing.
- Validate end-to-end insurance workflows (Quote → Bind → Issue → Endorsement → Renewal → Claims).
- Identify, log, track, and retest defects using defect tracking tools.
- Collaborate with Business Analysts, Developers, Project Mangers, Product Owners and Test team.
- Support UAT activities and provide timely assistance to business users.
- Create and manage test data to support UAT if business user requests.
- Provide effort estimations sprint wise for testing tasks in Jira.
Language Skills:
Required Skills:
- 4+ years of experience in Manual Functional Testing.
- Experience in Batch Testing and backend job validation.
- Strong understanding of SDLC & STLC.
- Experience in writing and executing test cases and test scenarios
- Experience working with test management and defect tracking tools such as (JIRA, Azure DevOps, or similar)
- Ability to create and manage test data for various testing scenarios.
- Basic SQL knowledge for manipulating test data and validate.
- Strong analytical and communication skills.
- Experience working in Agile/Scrum environments.
Nice to Have:
- Experience in the Insurance domain (Policy Administration, Claims, Billing).
- Basic knowledge of Java to run and support automation test scripts.
- Experience in GW PC is nice to have.
- Exposure to Automation Testing tools (Selenium or similar).
- API Testing experience (Postman, REST).
- Understanding of Non-Functional Testing concepts such as performance, Recovery & security testing.
- Test scheduled jobs and batch process, including data preparation.