Date: 28 Apr 2025
Location: Not Applicable, CA
Company: LTTS
Job Description & Skill Requirement
Job Title: Sr. Data Analyst
Location: Calgary, Canada
Job Type: Full-time (40 hours/week)
Experience Required: Minimum 12+ years of experience
Job Description:
We are seeking a highly skilled and experienced Mechanical Engineer with a strong background in reliability engineering to join our team. The ideal candidate will have a minimum of 8+ years of experience and will be responsible for analyzing data from various sources to predict equipment failures and guide the maintenance team.

Key Responsibilities:

• Data Analysis: Analyze static, transactional, and cascading data obtained from LNG Canada assets to predict equipment or unit failures.
• Alarm Evaluation : Example assess alarms from pressure transmitters and other devices to determine if they indicate real issues or faulty equipment.
• Trend Analysis: Develop, Monitor and interpret trends from multiple data streams, including:
• Calibration data sheets
• P&IDs (Piping and Instrumentation Diagrams)
• Operational data
• CMMS (Computerized Maintenance Management System) data
• PI Historian data
• Reliability Assessment and studies: Candidate shall be able to assess the equipment functionality based on the data available and provide the reliability of the equipment or system.
• Criticality Assessment and studies: Evaluate the criticality of equipment failures and provide recommendations to prevent production losses.
• Maintenance Guidance: Communicate findings and trends to the maintenance team and suggest necessary actions.
• AI Integration: Utilize AI tools and the Asset Information Factory to enhance data analysis and provide valuable insights.

Qualifications:

• Bachelor’s degree in Mechanical Engineering or equivalent.
• Experience in reliability engineering.
• Strong understanding of data analysis and trend monitoring.
• Ability to interpret and integrate data from multiple systems.
• Excellent communication skills to convey technical information to the maintenance team.
• Proficiency in using AI tools and data analysis software.

Desired Skills:

• Data analyst with Mechanical engineering degree and reliability experience
• Familiarity with CMMS and PI Historian systems.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.

Work Environment:

• Full-time position, 8 hours a day, 40 hours a week

“LTTS is an Equal Opportunity Employer and maintains a clear policy against discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. As an inclusive organization, we actively endorse equal opportunities for all candidates with the right mix of talent, skills, and potential. We encourage applications from a diverse pool of candidates and selection for roles will solely be based on individual merit.”
“L&T Technology Services LTD is an equal opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require any accommodations to participate in the recruitment process or to perform the essential functions of the job, please let us know. We will work with you to provide reasonable accommodations in accordance with applicable law.”

• Data Analysis: Analyze static, transactional, and cascading data obtained from LNG Canada assets to predict equipment or unit failures.
• Alarm Evaluation : Example assess alarms from pressure transmitters and other devices to determine if they indicate real issues or faulty equipment.
• Trend Analysis: Develop, Monitor and interpret trends from multiple data streams, including:
• Calibration data sheets
• P&IDs (Piping and Instrumentation Diagrams)
• Operational data
• CMMS (Computerized Maintenance Management System) data
• PI Historian data
• Reliability Assessment and studies: Candidate shall be able to assess the equipment functionality based on the data available and provide the reliability of the equipment or system.
• Criticality Assessment and studies: Evaluate the criticality of equipment failures and provide recommendations to prevent production losses.
• Maintenance Guidance: Communicate findings and trends to the maintenance team and suggest necessary actions.
• AI Integration: Utilize AI tools and the Asset Information Factory to enhance data analysis and provide valuable insights