
QA Metrics Reporting Lead
InfoVision Inc. • Bengaluru, Karnataka, India
**Role & seniority: ** QA / Quality Engineering (7–12 years); QA Metrics / Quality Analytics lead
**Stack/tools: ** Power BI or Tableau; Advanced Excel; SQL; Jira or Azure DevOps (reporting); QA dashboards; defect/coverage/automation/cycle-time tracking; (nice-to-have: Python, Data Lakes, GenAI/predictive analytics)
**Top 3 responsibilities: **
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Own QA KPI framework: define metrics, defect lifecycle/coverage definitions, data collection, and reporting
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Establish quality baselines (Phase 1) and measure improvements (Phase 3), including FT Pass Rate, defect density/leakage, coverage, automation, cycle time, release readiness
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Build and maintain operational + executive QA dashboards with drill-down/trends; analyze quality patterns, risks, and bottlenecks; correlate QA metrics with release outcomes
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Must-have skills:
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Hands-on QA metrics/KPI framework experience
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Strong Power BI/Tableau/Advanced Excel; strong SQL and data analysis
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Experience with defect lifecycle and quality KPIs (coverage, leakage, readiness)
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Jira/Azure DevOps (or equivalent) for reporting; strong analytical and presentation skills
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Ability to automate data collection/reporting where practical
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Nice-to-haves:
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Python/data analytics; advanced Power BI visualization
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AI/GenAI or predictive quality analytics
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Data lake experience
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Enterprise-wide QA KPI framework; QA maturity assessment experience
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Location & work type: Not specified in provided text
Full Description
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.
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