Reference Number : 805
Status : Permanent - Full-time
Annual Salary / Hourly Rate : $67,859 - $83,826
Number of positions to be filled : 1
Application Deadline : 05/05/2025
Did you know that VIA Rail is carrying out ambitious projects to modernize its services and infrastructure? From our new ultramodern train fleet to ongoing improvement of our infrastructure, we’re building the future of transportation in Canada. Working for VIA Rail is being a part of a collective effort in sustainable mobility.
Under the authority of the RAMS Engineer (Reliability, Availability, Maintainability, Safety), the technical analyst will be responsible for ensuring the accuracy and quality of data entered into our maintenance system, providing feedback to improve data quality, and developing scripts to associate and automate data analysis. This role requires a strong focus on data cleaning, automation of data analysis processes and the ability to support reliability monitoring through effective data management.

REQUIREMENTS:

• University degree in engineering, operations management, computer science, or equivalent
• 3+ years of experience in operations, maintenance management, BI analysis, data analysis or a related field.

Data quality & Data entry

• Adjust, modify and clean data entries from technicians in the maintenance system
• Categorize each data entry as per guidelines
• Execute data reconciliation and validation activities efficiently
• Address data-related issues pertaining to cross-references, reconciliation, and location specific problems
• Perform regular data quality checks in order to ensure data integrity and accuracy is maintained

Automation

• Automate data analysis processes to enhance review and correlation efficiency
• Develop cleansing, transformation, and enhancement rules with engineering team
• Create additional database to address reliability categories classification

Data improvement

• Develop data dictionary to facilitate data entry and reconciliation
• Oversee monitoring, assessment, and reporting on data quality issues. This includes identifying data inconsistencies, inaccuracies, and anomalies and providing solutions

Feedback & reporting

• Collaborate with cross-functional teams to ensure data integrity and consistency
• Ensure gaps found in the data are looped back to respective owners with the goal to improve their entry data quality
• Coach the technicians and supervisors on how to improve data entry
• Develop reporting to monitor data quality status and improvement through time