Semi Sr Manual QA Analyst

Key Responsibilities:

Manual Testing: Perform detailed manual testing on software, hardware, or systems to ensure functionality, usability, and overall product quality.
Test Planning: Develop and execute test plans, test cases, and test scripts based on product specifications and business requirements.
Defect Reporting: Identify, document, and track defects in a clear and detailed manner using issue tracking tools such as Azure DevOps.
Collaboration: Work closely with developers, product managers, and other stakeholders to ensure test requirements are met and defects are resolved in a timely manner.
Regression Testing: Perform regular regression testing to ensure that new changes do not negatively impact existing functionality.
Test Case Documentation: Write, update, and maintain test documentation, including test cases, test results, and test coverage reports.
Continuous Improvement: Contribute to the ongoing improvement of testing processes and quality standards, identifying areas for efficiency gains.
Product Verification: Participate in product verification processes to ensure all deliverables meet internal quality standards before release.
Root Cause Analysis: Assist in root cause analysis of defects and suggest improvements to development and quality processes.
Training & Mentoring: Provide guidance and support to junior quality engineers and new team members when needed.

Requirements:

Experience: 2-5 years of hands-on experience in manual testing, ideally in a semi-senior or similar role.
Knowledge:
- Strong understanding of quality assurance principles and methodologies.
- Proficient in test case design, execution, and defect management.
- Familiarity with software development life cycles (SDLC), Agile methodologies, and testing tools.
- Knowledge of SQL queries, DB structures, & Data analysis is a must.
- Experience in different types of testing : integration testing, website/mobile testing, functional/smoke and regression testing. It will be a plus to have some experience on data analysis.
Skills:
- Strong analytical and problem-solving abilities.
- Attention to detail and an ability to detect defects and inconsistencies.
- Excellent communication skills, both written and verbal.
- Ability to work independently and as part of a team.
- Strong organizational skills with the ability to manage multiple tasks simultaneously.
- Ability to work independently with a high degree of autonomy and self-management.

Desirable Qualities: