SENIOR ANALYST PLANT PERFORMANCE
Toamasina, Madagascar
Full Time
Asset Performance & Standardization
Experienced
"By applying for a position at Ambatovy, you agree that some personal data you provided will be collected in order to evaluate your application for this position as well as for other open positions. These personal data will be treated confidentially in accordance with the Malagasy law no. 2014-038 dated 9 Janvier 2015 on personal data protection."
Responsibilities:
You operate at the intersection of operations, reliability, and innovation — not only monitoring KPIs but building a systemic understanding of performance by connecting siloed data sources across the plant: ERP (EAM), DCS systems (via Piper), reliability databases, inspection reports, engineering design data (P&IDs, isometrics, datasheets), and more. You identify and deploy advanced data models and tools, including exploratory AI use cases, to extract meaningful insights and guide maintenance and operational focus.
Required skills:
Responsibilities:
You operate at the intersection of operations, reliability, and innovation — not only monitoring KPIs but building a systemic understanding of performance by connecting siloed data sources across the plant: ERP (EAM), DCS systems (via Piper), reliability databases, inspection reports, engineering design data (P&IDs, isometrics, datasheets), and more. You identify and deploy advanced data models and tools, including exploratory AI use cases, to extract meaningful insights and guide maintenance and operational focus.
Required skills:
- Advanced analytics: trend modeling, multi-source correlation, forecasting;
- You have a strong understanding of reliability, process design, and operational dynamics;
- Strong knowledge in Power BI, Python, SQL, Excel (advanced), ERP-EAM, DCS systems;
- You have excellent interpersonal and communication skills in French and English;
- Excellent communicator, able to translate complexity into clarity;
- Ability to identify, analyze, and solve complex operational challenges;
- Experience working with cross-functional systems (ERP, DCS, CMMS, inspection, engineering data);
- A minimum 10 years’ experience in industrial environments with significant exposure to operations and performance systems;
- You holder a Master’s degree in Industrial Engineering, Data Science, Process Engineering or related field / Certifications in Data Analytics, Machine Learning, or AI (Power BI, Python, etc.) are a strong asset.
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