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Engineering Analyst

Airswift

Toronto

Hybrid

CAD 125,000 - 150,000

Full time

22 days ago

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Job summary

A leading oil and gas company is seeking an Engineering Analyst for a 1-year contract. Located in either Chatham or North York, this hybrid role focuses on asset integrity through data-driven methods. The successful candidate will apply statistical modeling, reliability engineering, and risk assessment to promote safety and reliability of critical gas assets.

Qualifications

  • Experience in data analytics, data quality review, and statistical modeling.
  • Proficiency in Python, ReliaSoft, MATLAB or similar tools.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Conduct data collection, quality assessments, and trend analysis for asset integrity.
  • Develop and validate statistical/reliability models to assess failure risks.
  • Perform quantitative analysis on asset performance and potential failure scenarios.

Skills

Data analytics
Statistical modeling
Data quality review
Analytical skills
Problem solving

Tools

Python
ReliaSoft
MATLAB

Job description

One of our clients, a major oil and gas company, has tasked us with finding an Engineering Analyst for a 1-year contract to work in Chatham or North York on a hybrid schedule .

Role Overview :

The successful candidate will support the continued development of an industry-leading Integrity Management Program, ensuring the safety and reliability of critical natural gas assets. This role sits within a team focused on assessing risk for facilities that regulate, measure, and distribute gas. The analyst will apply quantitative methods, reliability engineering, and statistical modeling to evaluate asset failure probabilities and consequences, supporting data-driven decision-making.

Key Responsibilities :

  • Conduct data collection, quality assessments, and trend analysis for asset integrity.
  • Develop and validate statistical / reliability models to assess failure risks.
  • Perform quantitative analysis on asset performance and potential failure scenarios.
  • Support risk-based decision-making through data interpretation and reporting.
  • Collaborate with cross-functional teams to ensure accurate and actionable insights.

Qualifications :

  • Experience in data analytics, data quality review, and statistical modeling .
  • Proficiency in Python, ReliaSoft, MATLAB , or similar tools.
  • Strong analytical and problem-solving skills.

Preferred (Not Mandatory) :

  • Knowledge of machine learning / AI applications.
  • Experience with reliability / risk modeling .
  • Familiarity with Maximo / SAP or similar asset management systems.

This is a hybrid role with a mix of onsite and remote work. If you meet the qualifications and are interested in this opportunity, please apply today!

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Oil and Gas

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