Campus Buffer ESI 156970

• Execute manual regression tests as per Standard Operating Procedures (SOP), focusing on time and attendance functionalities.
• Ensure consistent quality across configurable features that handle high user volume and transaction load.
• Verify the accuracy of user-defined screens and workflows for various roles including employee, manager, practitioner, and time administrator.
• Collaborate with team members to refine test scenarios and ensure comprehensive test coverage.
• Use built-in scripting within the regression suite to support manual test execution where applicable.
• Report, document, and track defects found during testing; collaborate with developers to troubleshoot issues.
• Maintain and update test documentation, ensuring SOPs are current and reflective of the latest system changes.

Skills Qualifications

• Knowledge of Time and Attendance domain : Familiarity with time and attendance concepts, scheduling, employee attendance, and administrator functionalities.
• Manual Testing Expertise : Experience in manually executing test cases, ideally with exposure to regression testing in high-volume environments.
• Attention to Detail : Strong focus on accuracy, with an eye for inconsistencies in configurable workflows.
• Client-Facing Communication Skills : Ability to clearly communicate findings and collaborate effectively with both technical and non-technical stakeholders.
• Problem-Solving Skills : Analytical skills to troubleshoot issues and identify potential areas of improvement in the testing process.
• Documentation Skills : Capability to maintain test documentation and update SOPs as needed.

Preferred Experience

• Previous experience working with highly configurable applications in the Time and Attendance or Human Capital Management (HCM) domain.
• Exposure to testing tools and environments that support scripted regression testing.
• Knowledge of standard workflows and best practices within time and attendance systems and the ability to quickly understand and apply domain-specific SOPs.

Education

• Bachelor s degree in computer science, Information Technology, or related field, or equivalent experience in software quality assurance.