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Reliability Engineering Data Analyst
2 months ago
• Duration: 1 year contract
• Location: North York or Chatham
• Hybrid Model: In-Office (Monday, Tuesday & Thursday) / Remote (Wednesday & Friday)
This role resides in the Integrity Assessments & Risk - Facilities and Distribution (IAR-F&D) team. Facilities Integrity focuses on sites that connect multiple assets that supply gas to customers and perform functions such as increasing or decreasing pressure, as well as measuring and conditioning natural gas. The team estimates different Risks associated with these Facilities by utilizing Reliability Engineering concepts, Statistics/Mathematics and Risk management techniques. Each of the unique assets in these sites must be assessed to confirm they are safe and fit for continued service.
The specific role will have a focus on quantitative analysis related to probability of failure of assets and consequence of failures due to potential failures of the assets at critical facilities . This process requires the collection and review of relevant data, data quality assessments, data pattern and trend evaluation, model development and selection, results verification & validation and supporting decision-making by appropriate interpretations of findings.
Education: the candidates would be required to have at minimum an Engineering degree either from Mechanical, Chemical or Electrical
- Engineering Data Integrity Assessments, data quality assessments
- Data Analytics, (reliability/statistical) modeling
- Experience in Python/Reliasoft/Matlab programming
- Experience in data ETL processes (on-prem)
- Experience in working with Maximo/SAP