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- Conduct comprehensive testing of software applications to ensure they meet quality standards and requirements.
- Collaborate with crossfunctional teams, including developers and product managers, to understand project requirements and provide input on testability.
- Develop and execute test plans, test cases, and test scripts for both manual and automated testing.
- Identify, document, and track software defects, providing detailed information to assist developers in troubleshooting and resolving issues.
- Participate in the design and implementation of test automation frameworks to enhance the efficiency and effectiveness of testing processes.
- Perform regression testing after bug fixes or enhancements to ensure overall system stability.
- Conduct performance testing to identify and address bottlenecks, ensuring optimal software performance.
- Stay up to date with industry best practices, tools, and techniques related to software quality assurance.
- Collaborate with the development team to ensure that quality is built into the software development process from the beginning.
- Provide timely and accurate reports on test status, including test progress, test results, and any potential issues or risks.
- Communication Skills: Translating complex data findings into clear and actionable insights for nontechnical stakeholders.
- Problemsolving: The ability to approach challenges & problems methodically and, put a structure to them, and solve innovative solutions.
- Critical Thinking: To interpret data accurately and make informed decisions.
- Attention to Detail: Ensures data accuracy and recognizes anomalies.
- Project Management: Ability to manage multiple projects simultaneously and meet deadlines.
- Business Acumen: You have a basic understanding of business operations, marketing strategies, and products to align analytical initiatives with business goals.
- Lean Six Sigma Certification: Having a Six Sigma Green or Black Belt would be a major benefit to the role.
- Machine Learning: While not always necessary, having a basic understanding of machine learning concepts and models can be advantageous
- Industry Experience: While not always a dealbreaker, having experience in your particular industry can provide valuable context.
- Portfolio/
- Agile: Having worked in an Agile work model and being familiar with tools such as JIRA, Confluence, etc. )
Quality Analyst - Overseas/International/Dubai, India - Antal International
Description
Job Description And Responsibilities :
Case Studies:
It can be beneficial if the candidate has a portfolio or specific case studies showcasing their achievements and how they drove impact.