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Embedded Analytics Intern

Kermit, TX

Who We Are

Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders.

We’re very excited about what we see in front of us, and we think you will be too – so come join our team and contribute to our growth!

This role will be based onsite in Kermit, Texas

How You Will Make an Impact

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.

Key Responsibilities

  • 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

Required Skills & Background

  • 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

Expected Deliverables

  • Weekly Reliability KPI Summary highlighting trends and insights
  • Repeat Failure / Bad‑Actor Analysis by asset class
  • Backlog Aging & PM Effectiveness Summary with key observations
  • Prioritized Recommendations for corrective action or focus areas

What You’ll Gain at Atlas Energy

  • 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

Start date: June 1st – August 7th

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