IT Quality Assurance Senior Analyst

Duties and Responsibilities: Issue Management Triage & Prioritization: Lead the triage process by collaborating with stakeholders to prioritize defects based on risk assessment and business impact, ensuring high-value resolutions, and ensure timely resolution according to business impact. Stakeholder Collaboration Cross-Functional Leadership: Facilitate calibration sessions and technical meetings across all organizational levels to align on system stability and quality standards. Reporting & Analytics Operational Intelligence: Analyze performance drivers and technical changes to provide actionable insights. Deliver high-level dashboards and reports (Weekly/Monthly/Annual) to senior management. Quality Strategy Framework Design: Partner with QA leadership to design and implement Quality Gates, and refine quality rules, guidelines, and monitoring limits within the CI/CD pipeline to ensure consistent service delivery. Continuous Improvement Process Optimization: Leverage customer feedback and performance data to recommend and implement process improvements that enhance the end-to-end user experience. Performance Tracking: Manage individual and team performance tracking using ITSM tools (Jira, ManageEngine, etc.) to ensure accountability and KPIs are met and Implement Predictive Analytics to forecast potential system bottlenecks before they occur. Risk Mitigation & Training: Conduct Root Cause Analysis (RCA) and Hazard Analysis, to prevent recurring issues, and Develop training materials to improve the team on quality best practices. Requirements Job Requirements: Education: Bachelor’s degree in Computer Science, Information Technology, Software Engineering, CIS, MIS, BIS, from a top-tier university is a strong preference. Technical Skills: Skillful in data analysis & reporting tools [MS Excel, Power BI, Python, … etc.] Working knowledge of tools, methods, and concepts of quality assurance. Familiarity with AI-powered testing assistants (e.g., Copilot for QA, self-healing test scripts) is highly recommended. A certificate in Data Analysis using Excel & Power BI or Python is needed. Certificate in Quality Assurance, ISO 27001, ITIL Foundation, Six Sigma (Green/Black Belt), or Lean Management is a plus. Soft Skills: Excellent data collection & presentation skills. Strong attention to detail, problem analysis and problem solving. High communication skills, both verbal & written. Ability to translate complex technical defects into business-risk language for non-technical executives. High Adaptability.