RAMS Statistics Analyst

SYSTRA; Montreal (administrative region); On-site; CAD 90,000 - 120,000; Full time

Job summary

SYSTRA Canada is seeking a RAMS analyst to conduct data analyses on the DIT and SONO systems, establishing representative statistics and indicators in collaboration with RAMS and STM teams. You will evaluate system performance, reliability, and safety and prepare summary reports with clear, data-driven recommendations.

Qualified candidates hold a university degree in Electronics or Electrical Engineering, RAMS training (or equivalent experience), and 5–10 years applying RAMS per EN 50126/50129.

Qualifications

• RAMS training or equivalent significant RAMS experience.
• 5 to 10 years of RAMS experience, depending on background.
• Experience applying RAMS per EN 50126 and EN 50129.
• Strong statistical analysis of operational feedback (REX) is desired.

Responsibilities

• Evaluate system performance, reliability, and safety.
• Analyze operational feedback and data from DIT and SONO systems.
• Produce statistics, indicators, and ratios with RAMS and STM teams.
• Prepare summary reports and present statistical results.
• Provide technical recommendations and decision-making support.

Education

University degree in Electronics Engineering or Electrical Engineering

Job description

SYSTRA Canada is part of the SYSTRA group, an international consulting and engineering group, a world leader in the design of transport infrastructures. SYSTRA Canada is an engineering and consulting firm whose primary focus is to offer transportation solutions, whether for passengers or goods: feasibility studies of building a new railway line, increasing the capacity of the existing infrastructure, privatization of a railway.

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.

Profile/Skills

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.

Interpersonal Skills

• Excellent command of French, both written and spoken.
• Ability to communicate analyses and results clearly to engineering teams and STM project management.

SYSTRA Canada is committed to having a diverse and inclusive workforce. We are an Equal Opportunity Employer that values applications from all and offers employment equity based on the merits and abilities of candidates and personnel.

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 [e-mail].

Note: In this description, the masculine gender is used for easy reading purposes and includes the feminine.