InfoVision Inc. logo

QA Metrics Reporting Lead

InfoVision Inc. • Bengaluru, Karnataka, India

onsitefull-time
Posted Oct 8, 2026Apply by Nov 7, 2026

**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: **

  • Own QA KPI framework: define metrics, defect lifecycle/coverage definitions, data collection, and reporting

  • Establish quality baselines (Phase 1) and measure improvements (Phase 3), including FT Pass Rate, defect density/leakage, coverage, automation, cycle time, release readiness

  • Build and maintain operational + executive QA dashboards with drill-down/trends; analyze quality patterns, risks, and bottlenecks; correlate QA metrics with release outcomes

  • Must-have skills:

    • Hands-on QA metrics/KPI framework experience

    • Strong Power BI/Tableau/Advanced Excel; strong SQL and data analysis

    • Experience with defect lifecycle and quality KPIs (coverage, leakage, readiness)

    • Jira/Azure DevOps (or equivalent) for reporting; strong analytical and presentation skills

    • Ability to automate data collection/reporting where practical

  • Nice-to-haves:

    • Python/data analytics; advanced Power BI visualization

    • AI/GenAI or predictive quality analytics

    • Data lake experience

    • Enterprise-wide QA KPI framework; QA maturity assessment experience

  • 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

QA MetricsKPI FrameworksQA DashboardsExecutive ReportingPower BITableauAdvanced ExcelSQLData AnalysisJiraAzure DevOpsDefect Lifecycle ManagementQuality EngineeringData VisualizationPythonPredictive Quality Analyticsmulti-location

Cookies & analytics consent

We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.

Read how we use data in our Privacy Policy and Terms of Service.