Maintenance Data Analyst

About the role

Entarian is seeking a highly skilled Maintenance Data Analyst to support our meshONE-T program by analyzing maintenance data, identifying trends, and providing actionable insights. This position plays a critical role in optimizing maintenance processes, improving system reliability, and supporting decision-making through data-driven analysis. This role offers a unique opportunity to contribute to the design, implementation, and operation of the broader meshONE capability, supporting the United States Air Force, United States Space Force, and their mission partners.

Responsibilities

• Data Collection & Analysis: Gather, clean, and preprocess maintenance-related data from various sources; identify trends, anomalies, and insights within maintenance data to improve performance.
• Reporting & Visualization: Create interactive dashboards and reports to communicate maintenance performance and trends; present findings to leadership and stakeholders to support decision-making.
• Collaboration & Process Improvement: Work closely with maintenance teams to refine maintenance strategies and operational processes; identify opportunities for process automation and efficiency improvements.
• Predictive & Preventive Maintenance Support: Develop models for predictive maintenance to anticipate equipment failures; assist in implementing preventive maintenance measures to reduce downtime and increase asset lifespan.
• Compliance & Data Integrity: Ensure data accuracy and compliance with industry regulations and organizational policies; maintain and enhance data governance practices within maintenance management systems.
• Compliance and Safety: Ensure all maintenance activities adhere to safety protocols and regulatory requirements.
• Continuous Improvement: Gather feedback from stakeholders to enhance collaboration and effectiveness; track and report on key performance indicators (KPIs) related to maintenance activities.

Qualifications

Minimum Qualifications:

• Bachelor’s degree in Data Science, Engineering, Statistics, Information Technology, or a related field (or equivalent experience).
• Proficiency in data analysis tools such as Python, R, SQL, or Excel.
• Experience with maintenance management systems (CMMS, EAM, REMIS, or similar).
• Ability to translate data findings into actionable recommendations.
• Familiarity with predictive maintenance methodologies and asset lifecycle management.
• Analytical mindset with strong problem-solving and multitasking abilities.
• Exceptional customer-facing interpersonal skills.

Desired Qualifications:

• Experience working in a maintenance, logistics, or operations environment.
• Knowledge of machine learning techniques for predictive maintenance.
• Understanding of reliability engineering principles.
• Experience with business intelligence (BI) tools such as Power BI or Tableau.
• Extensive knowledge of Department of Defense service activities and operations.

Pay

Salary Range: $140,000 - $150,000

Schedule

Job Type: Full-Time, Monday through Friday. May require work outside regular business hours to address urgent priorities. Work Environment: In-office position directly supporting improvement and maintenance activities. Location: Colorado Springs, CO, or Denver, CO. Travel: Some travel throughout the Colorado Front Range Area (Colorado Springs to Denver).