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The Embedded Analytics Intern will provide analytical support that drives better decision‑making, improves asset health, and enhances execution discipline across the maintenance organization. This role is ideal for students interested in reliability engineering, maintenance optimization, equipment health analytics, and industrial operations.
Job Responsibility:
Track MTBF (Mean Time Between Failures), MTTR (Mean Time to Repair), and asset availability trends
Analyze repeat failures and bad actors by asset class
Monitor maintenance backlog aging and PM (Preventive Maintenance) compliance
Support shutdown and turnaround performance analysis
Assist reliability engineers with data preparation, cleansing, and visualization
Prepare weekly reliability performance summaries for leadership
Help develop insights that drive prioritization and corrective action
Requirements:
Pursuing a degree in Mechanical Engineering or Electrical Engineering (preferred), or related technical field
Strong proficiency in Excel
experience with Power BI is a plus
Interest in maintenance, reliability engineering, and asset management
High attention to detail, strong follow‑through, and comfort working with operations data
Strong analytical and problem‑solving abilities
What we offer:
Hands‑on experience analyzing asset performance and equipment reliability
Exposure to industrial maintenance environments and real‑world operational data
Experience supporting engineering and maintenance leadership
Insight into reliability methodologies used across Atlas Energy’s operations
A completed project portfolio with measurable impact