We are seeking a detail-oriented Software Tester with Data Analysis expertise to join our team. This hybrid role is ideal for someone who enjoys ensuring product quality while leveraging data insights to influence decision-making. The ideal candidate has strong analytical skills, experience in testing modern software systems, and the ability to translate data into actionable recommendations.
Key Responsibilities
Software Testing
- Design, develop, and execute test cases (manual and/or automated) based on functional and non-functional requirements.
- Perform functional, regression, integration, performance, and user acceptance testing.
- Identify, document, and track defects using issue-tracking tools (e.g., Jira, Azure DevOps).
- Collaborate with developers, product managers, and QA engineers to troubleshoot and resolve issues.
- Participate in requirements reviews and provide testability feedback.
- Maintain and improve test documentation, test plans, and testing standards.
- Assist in developing and maintaining automated test scripts (Selenium, etc).
Data Analysis
- Collect, clean, and analyze datasets to support product quality, performance monitoring, and business decisions.
- Build dashboards and reports using various tools.
- Identify testing trends, defect patterns, and root causes using data insights.
- Work with engineering and product teams to define KPIs and quality metrics.
- Use SQL/KQL or similar tools to query databases for test validation and analysis.
- Provide data-driven recommendations to improve system performance, user experience, and overall product quality.
Required Qualifications
- Experience in Information Systems, Data Analytics, or related field.
- 4+ years of experience in software testing (manual or automated).
- Strong SQL skills and experience working with relational databases.
- Experience with testing tools such as Jira, TestRail, Postman, Selenium, or similar.
- Ability to analyze complex datasets and present findings clearly.
- Proficiency in Excel and/or visualization tools (Power BI…).
- Strong problem-solving skills and attention to detail.
- Excellent communication and documentation abilities.
Preferred Qualifications
- Experience with automation frameworks (e.g., Selenium WebDriver, PyTest, Playwright).
- Familiarity with API testing and tools like Postman or RestAssured.
- Experience in Python or R for deeper data analysis or test automation.
- Knowledge of CI/CD tools (GitLab CI, Jenkins, GitHub Actions).
- Understanding of statistical analysis or data modeling.
- Experience working in Agile/Scrum environments.
Soft Skills
- Analytical, methodical, and curious mindset.
- Strong collaboration and cross-functional communication.
- Ability to manage multiple tasks and meet deadlines.
- Proactive approach to identifying risks and proposing solutions.
What We Offer
- Competitive salary and benefits
- Professional development opportunities
- Flexible work environment
- Opportunity to work at the intersection of QA and data analytics
- Mentorship and career-growth pathways into QA Automation or Data Analytics