Quality Data Analyst

The Quality Data Analyst is accountable for enabling data‑driven quality governance, performance visibility, and continuous improvement across EU quality operations. The role supports the EU Quality Excellence & Governance agenda by transforming quality, compliance, and loss data into clear insights that strengthen decision‑making, reduce variability and Cost of Poor Quality (COPQ), and ensure inspection‑ready oversight at enterprise level.

• Quality Data & Analytics
  • Own the collection, consolidation, validation, and analysis of EU‑level quality, compliance, and performance data across manufacturing sites and operations.
  • Transform complex datasets (e.g. deviations, CAPAs, audit findings, complaints, COPQ, right‑first‑time metrics) into clear, actionable insights for Quality Governance and senior leadership.
  • Develop and maintain standardised dashboards and reporting packs to enable consistent visibility of quality performance, risk trends, and maturity progression across EU sites.
  • Ensure data accuracy, traceability, and inspection‑readiness, with clear definitions, governance, and documentation of data sources and methodologies.
• Governance, Metrics & Performance Management
  • Support the definition, maintenance, and deployment of EU‑level quality metrics and KPIs aligned to QSCP, Quality Council expectations, and business priorities.
  • Monitor performance against enterprise standards, identifying variability, systemic risks, and emerging trends that require governance action or intervention.
  • Provide analytical support to Management Review, Quality Council, and governance forums, enabling fact‑based decision‑making on risk, prioritisation, and investment.
  • Track effectiveness of quality initiatives, standards deployment, and improvement actions using structured performance data and trend analysis.
• Cost of Poor Quality (COPQ) & Loss Elimination
  • Analyse COPQ drivers across EU sites, identifying root causes, repeat loss patterns, and high‑impact improvement opportunities.
  • Support loss elimination initiatives by linking quality performance data to defect prevention, deviation reduction, and right‑first‑time execution.
  • Enable prioritisation of improvement actions by quantifying risk, impact, and opportunity using robust data and analytical techniques.
• Continuous Improvement & Insight Generation
  • Apply structured problem‑solving and analytical methods to convert quality data into meaningful insights rather than descriptive reporting.
  • Identify cross‑site learning opportunities by comparing performance trends and recurring issues across EU operations.
  • Translate analytical insights into clear stories, recommendations, and improvement focus areas for technical and non‑technical stakeholders.
• Systems, Data Governance & Change Support
  • Act as a key interface between quality systems (e.g. HQS, deviation and CAPA systems, audit platforms) and governance reporting.
  • Support data standardisation and harmonisation efforts to reduce manual rework, ambiguity, and inconsistent interpretation across sites.
  • Contribute to digital quality initiatives (e.g. smart labs, automated reporting, advanced analytics) by defining analytical requirements and use cases.
  • Ensure changes to metrics, dashboards, or data models are governed, documented, and communicated effectively.

• Bachelor’s degree in Data Analytics, Statistics, Science, Quality, or a related discipline.
• 3–6 years’ experience in quality analytics, operational performance analysis, or data driven roles within regulated or complex manufacturing environments.
• Demonstrated experience analysing quality and compliance data (e.g. deviations, CAPAs, audits, complaints, COPQ) to identify trends, risks, and improvement opportunities.
• Experience working with enterprise quality systems and performance datasets in a multi‑site or matrixed organisation.
• Proven ability to translate complex data into clear insights for governance forums and senior stakeholders.
• Experience supporting quality governance, management review, or inspection readiness activities through robust analysis and reporting.
• Strong analytical and data‑visualisation skills, with hands‑on experience using…