MEM Reliability Analyst Job Fairbanks area,Alaska USA,Engineering

Located approximately 26 miles from the City of Fairbanks, Fort Knox is a centre of excellence for the Company as one of the few cold weather heap leach facilities in the world. Fort Knox celebrated its 25-year anniversary in 2021, and has produced over 8.5 million ounces since it began operation. In 2020, Kinross acquired Manh Choh – a project expected to commence production in 2024 and process ore at Fort Knox.

Fort Knox prioritizes being a strong contributor to the State and local communities, and since 2001, has helped support more than 300 community partners and has contributed more than US $25 million to the Alaska Mental Health Trust.

Job Summary

The Reliability Analyst – Data & Asset Performance is responsible for supporting Kinross’ Asset Management and Reliability strategy by transforming maintenance and condition monitoring data into meaningful insights that improve safety, equipment availability, reliability, and total cost of ownership. This role develops and maintains Power BI dashboards and SQL Server data models to enable data-driven decision-making and continuous improvement across Mobile Equipment Maintenance (MEM).

Responsible for the technical oversight of the fire detection system via thermography, ensuring system health and data integrity to support early fire detection and continuous asset condition monitoring across the site.

Essential Functions

Data, Reporting & Digital Enablement

Develop, maintain, and enhance standardized Power BI dashboards supporting MEM and site KPIs (availability, utilization, MTBF, MTTR, schedule compliance, backlog health, component life, and cost performance).
Establish automated refresh schedules and data validation routines to ensure high data integrity and reliability.

Reliability & Asset Performance

Perform reliability analyses including Pareto, trend analysis, and working with NDT Technicians on FMEA/FMECA, and root cause analysis.
Track and report benefits associated with reliability initiatives, including cost savings, downtime avoidance, and availability improvement.

Continuous Improvement & Knowledge Management

Standardize KPI definitions, reporting methodologies, and documentation.
Maintain clear documentation of data models, queries, and dashboard logic.
Identify opportunities to streamline reporting and analytics processes through automation.

Support deployment and operation of thermographic robotic monitoring systems on shovels and selected fixed plant assets (e.g., drive towers, lubrication rooms, MCC areas, conveyors, and other critical locations).

Validate and trend thermographic data and integrate results into Power BI dashboards and reliability reports.

Oversee the condition monitoring system, managing device configuration, alert logic optimization, and technical support for the Machine Health team.

Develop standard work instructions and response playbooks for thermographic alerts and findings.

Incorporate thermographic and robotic monitoring results into FMEA/FMECA, defect elimination, and asset health strategies.

Maintain high personal standards in safety, attendance, work ethic, and general knowledge of how the maintenance activities are performed.

Meet or exceed established performance expectations set by management.

Compliance with all company policies and procedure, including, but not limited to, safety, confidentiality, and environmental policies.

Possession of a valid driver’s license issued by the state.

Work safely in all areas, identify potential safety hazards, and work with management to correct hazards.

Work without significant risk of harm to self and others.

Perform other duties as required.

Qualifications and Skill Requirements

Bachelor’s degree in Engineering, Data Analytics, Computer Science, or related discipline (or equivalent experience).

Minimum 3 years of experience in reliability, maintenance analytics, asset performance, or industrial data analysis.

Advanced proficiency in:

Power BI (DAX, Power Query, data modeling)
SQL Server / T-SQL

Strong understanding of maintenance and reliability principles (MTBF, MTTR, RCM, PM optimization, CBM).

Mining or heavy industrial maintenance environment.

Experience with CMMS/ERP systems (e.g.,…


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