Must Have
- 7–12 years QA / Quality Engineering experience.
- Strong hands-on QA metrics and KPI framework experience.
- Experience building QA dashboards and executive reporting.
- Strong Power BI / Tableau / Advanced Excel skills.
- Strong SQL and data analysis skills.
- Jira / Azure DevOps or equivalent reporting experience.
- Strong understanding of defect lifecycle, coverage and quality KPIs.
- Strong analytical and presentation skills.
Good to Have
- Advanced Power BI / data visualization.
- Python / data analytics.
- AI / GenAI or predictive quality analytics.
- Data Lake experience.
- Enterprise QA KPI framework experience.
- QA maturity assessment experience.