Data Mining Analyst

SGS Consulting; Bagdad (AZ); On-site; USD 70,000 - 100,000; Full time

Job summary

A leading consulting firm based in Arizona is looking for an analytical professional with a strong background in Data Science or Computer Science to enhance maintenance practices for autonomous mining equipment. The ideal candidate will collaborate with multidisciplinary teams, ensure equipment reliability through data-driven strategies, and lead projects that improve operational efficiency. Relevant experience in data analytics and familiarity with mining operations is paramount for this role.

Qualifications

• Bachelor’s in Data Science or Computer Science with related mining experience.
• Ability to analyze large datasets from mining equipment.
• Familiarity with Reliability Centered Maintenance principles.

Responsibilities

• Work with multidisciplinary teams on maintenance practices for mining equipment.
• Ensure equipment reliability through predictive maintenance strategies.
• Lead projects on improving equipment reliability.

Skills

Data analysis

Communication skills

Predictive maintenance

Machine learning

Project management

Education

Bachelor’s Degree in Data Science or Computer Science

Tools

Python

R

SQL

Power BI

Tableau

Job description

we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career.

RESPONSIBILITIES

• Work 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.

EXPERIENCE

• 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

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