Overview
ork with a multidisciplinary team to determine maintenance practices for autonomous mining equipment by providing staff mentorship on industry best practices spanning processes, technology, and specifications. Collaborate to develop and implement standardized maintenance templates and reporting protocols. Ensure equipment reliability through predictive maintenance strategies and data-driven analytical methods that facilitate proactive work planning. Serve as a technical expert in maintenance and computerized systems, supporting machine health analysis and planning. Lead projects with maintenance, operations, OEM experts, and reliability engineers to improve equipment reliability and run time through data analysis, root cause investigation, and rebuilds. Review maintenance documentation for equipment, on-board technology, office software, and networking to identify potential and existing problems. Identify root causes and coordinate actions to prevent production and maintenance issues. Collaborate with planners and operations on critical maintenance activities, establish KPIs for autonomous equipment, and analyze data for health indicators. Perform other duties as assigned.

What You Bring:

Bachelor’s Degree in Data Science, Computer Science, Engineering or related field and five (5) years of mining experience; OR
Master’s degree in Data Science, Computer Science, Engineering or related field and three (3) years related experience in Engineering; OR
High school diploma/GED and seven (7) years of experience in data analytics within mining, heavy industry, or autonomous systems
Ability to interpret large datasets from mobile mining equipment (telemetry, sensor data, maintenance logs)
Ability to produce clear documentation, reports, and dashboards aligned with operational goals
Experience managing multiple tasks and priorities in a fast-paced, safety-critical environment
Familiarity with Reliability Centered Maintenance (RCM) principles
Proficiency in data analysis tools and languages such as Python, R, SQL, and visualization platforms like Power BI or Tableau
Effective written and verbal communication skills
Mine Operations Fundamentals
Power BI Data Analyst Associate
AWS Certified Data Analytics

Preferred Qualifications

Bachelor’s Degree in Data Science or Computer Science
Experience with autonomous haulage systems (AHS), fleet management systems, or industrial IoT platforms
Experience with mobile maintenance and planning
Experience with CAT MineStar applications and autonomous mining systems
Certifications in Master Data Management
Experience with AI applications, automated reporting, and advanced analytics
Strong understanding of machine learning concepts, statistical modeling, and predictive analytics
Ability to lead cross-functional projects involving operations, maintenance, and technology teams.

Pay: $95,500.00 - $134,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Health insurance
Life insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Work Location: In person

ZEMLOCK LLC

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