QA Engineer (Automation) - Fresher
App Analytics Verified employer
Actively hiring · Posted 3d ago · JEV261003100E85A9
Job description
About the job:App Analytics is a dynamic company that provides innovative tools for mobile app testing and performance marketing. On the app testing front, App Analytics equips QAs and developers with a powerful virtual environment to test mobile applications across 1,500+ mobile devices and browsers. With advanced automation capabilities, it significantly reduces the need for manual testing, ensuring faster and more accurate results. Real-time reporting integrates seamlessly with your automation frameworks, enabling teams to link test execution with relevant test cases for streamlined workflows and improved efficiency.
Key Responsibilities:
1. Analyze user stories, use cases, and requirements for validity and feasibility.
2. Analyze test results to predict user behavior, identify bugs, and suggest solutions to minimize issues.
3. Prepare documentation on user behavior and test results.
4. Build and execute automation scripts using open-source tools.
5. Collaborate with the development team to assess and diagnose problems and suggest possible solutions.
Additional information:
1. Training Period - 3 to 6 months.
2. Salary during training - 15K.
3. Working Days: Monday to Saturday (Second and Fourth Saturdays Off).Who can apply:Only those candidates can apply who:are from Greater Noida onlyare Computer Science Engineering studentsSalary:₹ 3,00,000 - 3,60,000 /yearExperience:No experience requiredDeadline:[hidden]:59:59Skills required:Java, Python, Software Testing, Debugging and Software Development Life Cycle (SDLC)Other Requirements:1. 2025 and 2026 Computer Science students, BTech, BCA, or MCA candidates; female candidates are preferred.2. Candidates with a Computer Science or IT engineering background.3. 0–1 year of experience in the software field; 2025 and 2026 female pass-outs are preferred.4. Ability to work in a fast-paced environment with minimal supervision and manage multiple tasks effectively.5. Strong critical-thinking and problem-solving skills.6. Good organizational skills and a detail-oriented mindset.7. Knowledge of REST APIs and web debugging.8. Working knowledge of any programming language.9. Ability to read and understand Java source code.10. Ability to read and understand Python source code.About Company:App Analytics is a performance marketing solution for affiliate networks, advertisers, and agencies with professional tracking capabilities. We've brainstormed through affiliate challenges in search of a fresh perspective on traffic tracking. Our first-hand experience drove us towards the development of a platform that would offer something a bit more than just a tracker. We plan to change the market by creating a platform centering on its users.
Responsibilities
App Analytics is a dynamic company that provides innovative tools for mobile app testing and performance marketing. On the app testing front, App Analytics equips QAs and developers with a powerful virtual environment to test mobile applications across 1,500+ mobile devices and browsers. With advanced automation capabilities, it significantly reduces the need for manual testing, ensuring faster and more accurate results. Real-time reporting integrates seamlessly with your automation frameworks, enabling teams to link test execution with relevant test cases for streamlined workflows and improved efficiency.
Key Responsibilities:
1. Analyze user stories, use cases, and requirements for validity and feasibility.
2. Analyze test results to predict user behavior, identify bugs, and suggest solutions to minimize issues.
3. Prepare documentation on user behavior and test results.
4. Build and execute automation scripts using open-source tools.
5. Collaborate with the development team to assess and diagnose problems and suggest possible solutions.
Additional information:
1. Training Period - 3 to 6 months.
2. Salary during training - 15K.
3. Working Days: Monday to Saturday (Second and Fourth Saturdays Off).
Key skills
How to apply
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- Apply with one tap — your profile is shared directly with App Analytics.
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