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.
Robust understanding of defect lifecycle, coverage and quality KPIs.
Solid analytical and presentation skills.

Positive 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.

Roles & Responsibilities

Key Responsibilities
Own QA KPI framework, metric definitions,



data collection and reporting.
Establish Phase 1 quality baseline and Phase 3 improvement measurement.
Define and track FT Pass Rate, defect density/leakage, coverage, automation, cycle time and release readiness.
Build operational and executive QA dashboards with drill-down/trend analysis.
Analyse quality trends, defect patterns, risks and process bottlenecks.
Correlate QA metrics with release outcomes and business impact.
Automate data collection and reporting wherever practical.
Support AI-assisted quality analytics, predictive insights and executive

📌 Qa Metrics Reporting Lead Bengaluru (India)
🏢 InfoVision
📍 India