Maintenance Repair Analyst

Seaboard Transport Group

Dartmouth

On-site

CAD 70,000 - 95,000

Full time

10 hours ago
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Benefits offered by this job

Health & Dental
RRSP (employer matching)
Work Perks program

Job summary

Seaboard Transport Group in Dartmouth, NS seeks a Maintenance Repair Analyst to strengthen fleet reliability, safety and performance for heavy-duty trucks and trailers. You will turn work orders, telematics, and repair history into practical actions that reduce downtime and costs.

The role bridges field expertise with fleet leadership and requires 3+ years of experience with heavy vehicles, proficiency in Trimble TMT/Dossier, and a data-driven mindset. Travel to terminals may be required.

Qualifications

  • Degree in Industrial Engineering or a relevant technical discipline with practical fleet experience.
  • Three+ years working hands-on or analytically with heavy-duty commercial vehicles.
  • Strong knowledge of major vehicle/trailer systems and OEM diagnostics.
  • Proficiency with fleet maintenance software (Trimble TMT, Dossier) and BI reporting tools.
  • Willingness to travel to terminals and maintenance facilities.

Responsibilities

  • Bridge field insights with fleet and maintenance management to drive action.
  • Review work orders, telematics, diagnostics, and failure metrics to identify recurring failures.
  • Coordinate structured investigations of complex failures using technician evidence and fault codes.
  • Optimize preventative maintenance intervals and job plans using OEM guidance and asset data.
  • Analyze spend vs. replacement cost, warranty recovery and vendor performance.
  • Ensure inspection readiness and data quality for compliance and reporting.

Skills

Analytical thinking
Communication with fleet leaders
Systems thinking
Attention to detail

Education

Industrial Engineering degree
Mechanical/fleet maintenance diploma

Tools

Trimble TMT
Dossier
Diagnostic tools
BI reporting tools

Job description

Description
Role Overview:

The Maintenance Repair Analyst plays a key role in strengthening fleet reliability, safety and performance for heavy-duty trucks and trailers. By connecting field expertise with fleet leadership, this role uses data analytics, diagnostics and engineering judgment to drive smarter maintenance decisions, reduce downtime, control repair costs and support strong regulatory compliance.

This is an opportunity to build a more proactive, insight-driven maintenance function within Fleet Management & Maintenance. The successful candidate will turn work orders, telematics, failure trends, technician insight and cost data into practical actions that improve asset uptime, support frontline teams and guide repair, maintenance and lifecycle decisions across tractors, trailers and heavy-duty fleet assets.

Location: Dartmouth, NS, Moncton, NB or North York, ON

Schedule: Monday - Friday| 8:00am - 5:00pm

Compensation: Will be discussed during the recruitment process and aligned with the scope of the role, operational requirements and candidate experience.

Benefits: Health & Dental, RRSP (employer matching), Work Perks program

Role Objectives
  • Reduce preventable breakdowns, roadside repairs, repeat repairs, and hours of unplanned equipment downtime.
  • Optimize preventative maintenance by asset class, age, duty cycle, condition, failure history and regulatory requirements.
  • Lower lifecycle cost through stronger repair-versus-replace decisions, warranty recovery and vendor performance management.
  • Improve maintenance data and reporting for operational, budgeting, equipment specification, and capital-planning decisions.
  • Strengthen inspection readiness, defect follow-up and maintenance-record compliance across the fleet.
Key Responsibilities
  • Field–management bridge: Translate shop-floor insights into clear business impacts and share feedback with fleet and maintenance management and across locations.
  • Reliability analytics: Review work orders, telematics, diagnostics, inspection results and failure metrics to identify recurring component failures, including brakes, wheel ends, suspensions, driveline, electrical and emissions systems.
  • Diagnostics and root cause: Coordinate structured investigation of complex, repeat and high-impact failures using technician evidence, fault codes, service history and engineering judgment.
  • Preventative maintenance: Optimize preventative maintenance intervals, inspections and job plans using Original Equipment Manufacturer (OEM) guidance, regulation, asset age, duty cycle, condition and failure history.
  • Cost, warranty and vendors: Analyze maintenance spend versus replacement cost, maintenance cost per kilometer, improve warranty recovery, assess vendor performance and collaborate with parts teams on standards, inventory and sourcing opportunities.
  • Data, compliance and improvement: Inspection/out-of-service trends; safety-action closure; complete and timely work-order data; adherence to Nova Scotia commercial vehicle maintenance and trip inspection requirements and applicable Canadian safety standards.
Education & Experience
Required
  • Degree in Industrial Engineering or a relevant technical diploma in mechanical, heavy-equipment, reliability or fleet maintenance technology. Equivalent combinations of education, certification and practical fleet experience will be considered.
  • Three or more years working hands-on or in an analytical capacity with heavy-duty commercial vehicles, including trucks, tractors or trailers.
  • Strong knowledge of major vehicle and trailer systems and experience interpreting OEM diagnostics, fault codes, Engine Control Module (ECM) information, telematics and repair history.
  • Proficiency with fleet maintenance software such as Trimble TMT, Dossier or comparable systems, plus diagnostic tools, spreadsheets and BI reporting and data analytics tools.
  • Credibility with experienced technicians, clear communication with fleet leaders, sound judgment, ability to travel to terminals, and maintenance facilities.
Preferred experience
  • Red Seal Truck and Transport Mechanic certification is highly preferred, as it bridges theoretical engineering with practical shop reality; professional engineer, Certified Engineering Technologist/Technician, or comparable maintenance credential is an asset.
  • Experience with Trimble TMT, Dossier or a comparable platform, J1939/CAN data, OEM diagnostic tools, telematics and mobile inspection systems.
  • Power BI, SQL, Lean/Six Sigma, reliability-centred maintenance or structured failure-analysis capability.
  • Experience in a distributed mixed-make fleet and freight, petroleum, bulk, dangerous-goods or other high-compliance operations.
What you bring
  • Technical credibility: You can build trust with experienced technicians, maintenance leaders and operational teams by understanding the practical realities of heavy-duty fleet maintenance.
  • Analytical judgment: You know how to turn maintenance data, diagnostics, work orders and failure trends into clear insights and practical recommendations.
  • Systems thinking: You can look beyond individual repairs to identify patterns, root causes and opportunities to improve fleet reliability, safety and cost performance.
  • Clear communication: You can explain technical findings in a straightforward way to both shop-floor and leadership audiences.
  • Collaboration: You enjoy working across maintenance, fleet operations, parts, vendors and leadership to solve problems and improve processes.
  • Continuous improvement mindset: You are motivated to make maintenance practices more proactive, consistent and data-driven.
  • Safety-first approach: You understand the importance of safe, compliant and reliable equipment in a high-performance fleet environment.
  • Professional integrity: You use sound judgment, accurate information and practical evidence to support decisions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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