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Generalist data-analyst title, common Power BI/SQL skillset, and mid-level role raise applicant density.
Analytics skills are transferable, but quality and Six Sigma focus increases domain-specific fit requirements.
Mandatory Power BI/SQL and Six Sigma/Lean knowledge increases screening rigor despite no explicit years requirement.
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Collect, validate, and analyze quality data to monitor performance and identify trends, risks, and root causes.
Develop and maintain quality dashboards, KPIs, and reports using tools like Power BI, SQL, and Excel.
Conduct quality audits and compliance reviews and recommend corrective/preventive actions to improve quality performance and adherence to standards.
Bachelor's degree in Engineering, Computer Science, Business Analytics, or related field.
Proficiency in Excel, Power BI, SQL, and data visualization tools.
Experience in Quality Assurance, Data Analytics, Process Improvement, or Project Governance.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in quality frameworks, audit methodologies, and continuous improvement practices with demonstrated impact on defect reduction and compliance scores.
Strong analytical abilities with a focus on root cause analysis and actionable insights to improve business metrics.
Capable of collaborating effectively with project teams and leadership to drive process adherence and governance compliance.