Function: Quality Performance, Analytics, and Improvement
Reports to: Quality Manager / Project Controls Manager
Supervises: None
Role Purpose
Turn inspection, audit, NCR, rework, supplier, completion, and document data into reliable insight that enables project and operations leaders to prioritise risk, improve performance, and prevent recurrence.
Key Responsibilities
- Define quality data requirements, KPI definitions, coding rules, data ownership, reporting frequency, and validation checks.
- Consolidate and cleanse data from inspection requests, ITPs, NCRs, audits, weld/NDT registers, coating reports, test packs, supplier records, and handover systems.
- Build and maintain dashboards, scorecards, trend reports, Pareto analyses, ageing reports, and early-warning indicators.
- Analyse defect, rework, repair, overdue action, audit, vendor, and first-pass acceptance trends by discipline, contractor, system, location, and period.
- Validate source-to-report traceability and challenge incomplete, duplicated, inconsistent, or misleading data before publication.
- Partner with QA/QC and delivery teams to investigate adverse trends and quantify causes, impacts, action effectiveness, and residual risk.
- Prepare weekly and monthly quality performance packs, management-review inputs, and concise narratives explaining material changes.
- Maintain controlled master data, reporting templates, quality registers, and lessons-learned datasets with appropriate access and revision control.
- Automate repeatable data preparation and reporting where practical while retaining transparent, auditable calculations and source links.
Qualifications and Experience
Minimum Requirements
- Bachelor’s degree or HND in Engineering, Quality, Data/Statistics, Information Systems, or a related discipline.
- Typically 5 or more years of quality, inspection, project-controls, or operational data experience, including at least 2 years of analytics/reporting responsibility.
- Strong spreadsheet and dashboard capability; experience with databases, BI tools, or scripting is advantageous.
- Understanding of QA/QC processes, inspection/NCR lifecycles, audit data, completions, and supplier quality.
- Excellent data-quality discipline, analytical reasoning, visual communication, and technical writing.
Preferred Certifications and Standards Knowledge
- Quality, data analytics, business intelligence, or statistical certification is advantageous.
- ISO 9001 awareness or auditor training is preferred.
- Familiarity with project controls, document management, inspection-management, or completions systems is desirable.
Core Competencies
- Data governance and validation
- Quality KPI and dashboard design
- Trend, Pareto, ageing, and root-cause analysis
- Clear management reporting
- Auditable reporting automation
Key Performance Measures
- Reports issued accurately and on schedule
- Source-to-dashboard reconciliation and data completeness
- Actionable trends identified before major impact
- Reduction in manual reporting effort and duplicate data
- Stakeholder use and acceptance of quality insights
Reporting and Interfaces
Internal interfaces: Quality, inspection, project controls, engineering, construction, procurement, completions, operations, IT, and document control teams.
External interfaces: Clients, contractors, vendors, third-party inspectors, and system/reporting service providers.
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