RAMS Statistics Analyst
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Context
The candidate will be responsible for conducting data analyses on operational events related to the DIT and SONO systems in order to establish representative statistics for the events observed and collected for each system. To this end, relevant indicators and ratios will need to be defined in collaboration with Systra FDMS and the STM engineering teams.
Missions/Main Duties
- Evaluate system performance, reliability, and safety.
- Analyze operational feedback and operating data from DIT and SONO systems.
- Produce relevant statistics, indicators, and ratios in collaboration with Systra’s RAMS team and STM engineering teams.
- Prepare summary reports and present statistical results.
- Provide technical recommendations and decision-making support.
Education: University degree in Electronics Engineering or Electrical Engineering. Training in RAMS (Reliability, Availability, Maintainability and Safety) is required, or equivalent significant experience may be considered.
Years of experience: 5 to 10 years of experience, depending on education and professional background. 8 to 10 years of experience in the application of RAMS processes in accordance with CENELEC standards EN 50126 and EN 50129.
Technical Skills
- Strong statistical analysis skills applied to operational feedback (REX), including mastery of statistical distributions suited to the size of operating event populations.
- Ability to perform safety and reliability analyses using associated methods such as functional analysis, FMEA/FMECA, fault tree analysis, reliability block diagram modeling, and failure rate estimation.
- Experience in the design of complex systems.
- Excellent command of French, both written and spoken.
- Ability to communicate analyses and results clearly to engineering teams and STM project management.
We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and candidate matching. These tools do not make hiring decisions; all applications are reviewed by a human recruiter, and final decisions are made by our hiring team.For questions about our hiring process or AI tools, please contact [email protected].
Note: In this description, the masculine gender is used for easy reading purposes and includes the feminine.
Workplace Type
More about this job
Responsibilities
Analyze operational events and feedback from DIT and SONO systems to assess performance, reliability, and safety, and develop representative statistics, indicators, and ratios with RAMS and STM engineering teams. Prepare reports, present findings, and provide technical recommendations and decision-making support.
Requirements
A university degree in Electronics Engineering or Electrical Engineering and RAMS training, or equivalent significant experience, are required. The role calls for 5–10 years of experience, including 8–10 years applying RAMS processes under CENELEC EN 50126 and EN 50129, strong statistical and safety/reliability analysis skills, complex systems design experience, and excellent written and spoken French.
Skills
- Statistical Analysis
- Operational Data Analysis
- RAMS
- Reliability Analysis
- Safety Analysis
- Availability Analysis
- Maintainability Analysis
- FMEA/FMECA
- Fault Tree Analysis
- Reliability Block Diagram Modeling
- Failure Rate Estimation
- CENELEC Standards
- EN 50126
- EN 50129
- Technical Reporting
- Engineering Communication
Visa sponsorship
Not detected in the job text
Categories
- Engineering
- Data & Analytics
- Transportation
- Consulting
- Security & Safety
Keywords
- RAMS
- Reliability
- Availability
- Maintainability
- Safety
- Statistical Analysis
- Operational Feedback
- Operational Data
- DIT Systems
- SONO Systems
- CENELEC
- EN 50126
- EN 50129
- FMEA
- FMECA
- Fault Tree Analysis
- Reliability Block Diagram
- Failure Rate Estimation
- Functional Analysis
- Complex Systems Design
- Performance Evaluation
- Statistical Distributions
- Technical Recommendations
- Engineering
- Transportation Infrastructure