FACTORY DATA PROCESSING OFFICER

Job Summary  The  FACTORY DATA PROCESSING OFFICER   is responsible for the  accurate, timely, and disciplined collection, validation, and reporting of production and operational data  within the ERP and approved reporting systems. The role ensures that  production outputs, waste, downtime, material consumption, job closures, and operational KPIs  are correctly captured, reconciled, and reported, providing management with  reliable data for performance management, cost control, NR, and EBITDA delivery. The position operates as a  data governance and control function, supporting Production, Inventory, Engineering, Finance, and Operations Excellence by enforcing  ERP transaction discipline and data accuracy. DUTIES AND RESPONSIBILITIES Production Data Collection & Validation Collect daily  production  outputs, waste figures, downtime, machine utilisation, and job performance data  from operations. Validate data completeness, accuracy, and consistency before ERP entry. Follow up immediately on  missing, late, or inconsistent production data. ERP Transactions & Job Control Ensure  accurate and timely posting  of production confirmations, material consumption, waste, and job closures in the ERP. Support  job closure discipline, ensuring all production, inventory, and cost elements are posted before closure. Prevent unauthorized or incomplete job postings. Reporting & Performance Dashboards Prepare daily, weekly, and monthly  operational performance reports  as defined by the GOM. Support reporting of  OTIF, waste, efficiency, downtime, inventory movements, and cost drivers. Ensure reports are  consistent with ERP data and Finance records. Data Governance & Controls Enforce  ERP data discipline  across production and operations teams. Maintain controlled templates, formats, and reporting standards. Support internal and external audits by providing accurate and traceable data. Cross-Functional Coordination Work closely with  Production, Inventory, Engineering, Finance, and Operations Excellence  to resolve data discrepancies. Escalate recurring data integrity issues to the GOM with root cause analysis and corrective actions. Continuous Improvement Support Identify gaps, inefficiencies, or inconsistencies in data capture and reporting processes. Support improvements in  data accuracy, reporting timeliness, and operational visibility. Health, Safety & Quality Comply with all  HSE policies  applicable to office and operational environments. Ensure data handling and reporting do not compromise safety or compliance requirements