Maintenance Analyst

13 ago - Atessa
Syngenta Biologicals

Maintenance Analyst

Syngenta Biologicals | Global Operations
Location: Atessa
Employment Type: Full-time

The Role

We are seeking a Maintenance Analyst to transform maintenance operations through data-driven insights and strategic analysis. This role is at the heart of our operational excellence, turning raw maintenance data into actionable intelligence that drives equipment reliability, reduces costs, and maximizes production uptime.

As our Maintenance Analyst, you'll be the analytical powerhouse behind our maintenance strategy—mining CMMS data, developing predictive models, tracking performance metrics, and providing the insights that enable proactive decision-making. You'll bridge the gap between technical execution and strategic planning, translating complex data into clear recommendations for management.

Reports to: Global Head of Maintenance, Utilities & Facilities

Key Responsibilities

Data Analysis & Performance Monitoring
- Design, develop, and monitor comprehensive maintenance KPIs and reliability metrics using CMMS systems




- Conduct deep-dive analysis of maintenance data, spare parts consumption, and equipment performance to identify trends, anomalies, and improvement opportunities
- Perform statistical analysis and root cause investigations on equipment failures and recurring issues
- Generate executive-level performance reports and dashboards using Power BI or similar tools
- Compare actual maintenance performance against planned schedules, workload estimates, and industry standards
- Analyze asset lifecycle data to identify obsolescence risks and replacement priorities

Strategic Planning & Optimization
- Develop and implement data-backed preventive and predictive maintenance strategies
- Create optimized maintenance schedules that balance reliability requirements with production demands
- Calculate resource requirements and personnel allocation based on workload analysis
- Identify material deficiencies, high labor-hour areas, and deviations from

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