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Project Description:
We are seeking a QA Engineer with a strong foundation in functional testing and growing automation capabilities to join our analytics product team. You will own end-to-end quality for a NLP-enabled analytics platform — validating complex data workflows, charts, dashboards, and reporting UIs — while contributing to and scaling our Python/pytest/Selenium automation framework. This role is ideal for someone with deep manual QA experience on data-intensive applications who has hands-on automation exposure and is motivated to develop their scripting skills further in a collaborative team environment.
Job Responsibilities:
Functional & Manual Testing
• Design, develop, and execute comprehensive test plans and test cases for an analytics/BI product.
• Perform functional, regression, integration, and exploratory testing across application releases.
• Validate analytics UIs including sorting, filtering, chart data accuracy, dashboard rendering, and NLP query outputs.
• Perform data validation by comparing UI results against backend data via SQL queries and API responses.
• Identify, document, and track defects using JIRA; participate in triage and ensure timely resolution.
• Collaborate with developers, project managers, and data analysts to clarify requirements and validate feature implementations.
• Provide sign-off on stories based on thorough test execution, acceptance criteria coverage, and defect status.
• Ensure compliance with data privacy and security standards across all testing activities.
Automation Testing
• Contribute to and maintain the team's automation framework built using Python, pytest, and Playwright.
• Write clean, maintainable automation scripts.
• Automate regression suites and validate data-intensive flows including search, sort, filter, and charting functionality.
• Support solution and product teams in adopting and using the automation framework effectively.
• Participate in code reviews for automation scripts and provide constructive feedback.
Requirements:
Experience & Background
• 5+ years of experience in QA, with a strong focus on manual/functional testing of business or analytics applications.
• Hands-on experience with data-intensive applications — validating large datasets, reports, and analytics outputs.
• Prior exposure to BI, analytics, or reporting platforms strongly preferred.
• Bachelor’s degree in computer science, Information Technology, or a related field.
Functional Testing Skills
• Strong understanding of data validation and data quality processes, including UI-to-database verification.
• Ability to validate analytics and reporting UIs: sorting, filtering, chart data, drill-downs, and data accuracy checks.
• Proficiency in SQL for backend data validation and cross-checking UI results.
• Experience with test case and test scenario creation, test planning, and defect lifecycle management.
Automation Skills
• 1-2 years of practical automation scripting experience.
• Working knowledge of Python for automation; willingness to work in Python/Playwright if coming from another stack.
• Understanding of Page Object Model (POM) architecture and automation best practices.
• Experience automating UI and API based test scenarios.
• Ability to support other teams in understanding and adopting automation frameworks.
Relevant candidates can reach out to reshma.ponnamma@customertimes.com
Work arrangement
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