Maintenance Data Analyst

Entarian•Colorado Springs, CO
•$110,000 - $120,000•Onsite

About The Position

Entarian is seeking a Maintenance Data Analyst to support its meshONE-T program by analyzing maintenance data, identifying trends, and providing actionable insights. The position contributes to optimizing maintenance processes, improving system reliability, and supporting decision-making through data-driven analysis. It also supports the design, implementation, and operation of the broader meshONE capability for the United States Air Force, United States Space Force, and their mission partners. The analyst collects, cleans, and analyzes maintenance data; creates reports, dashboards, and visualizations; monitors maintenance performance indicators; and works with maintenance and operations teams to improve asset management, workflows, and preventive maintenance. The role includes investigating maintenance issues, recommending corrective actions, supporting predictive maintenance strategies, and maintaining data integrity and governance. This is a full-time, in-office position, Monday through Friday, based in Colorado Springs or Denver, Colorado, or El Segundo, California. Some travel between Colorado and California locations is required. Work outside regular business hours may be needed to address urgent priorities. The role requires eligibility for a Top Secret/SCI security clearance.

Requirements

  • Bachelor’s degree in Data Science, Engineering, Statistics, Information Technology, or a related field, or equivalent experience.
  • At least 5 years of progressive experience in maintenance data analysis, operational data analysis, reliability, logistics, or a related field.
  • Proficiency in data analysis tools such as Python, R, SQL, Excel, or similar technologies.
  • Experience with maintenance management systems such as CMMS, EAM, REMIS, or similar.
  • Experience developing reports, dashboards, and data visualizations using tools such as Power BI or Tableau.
  • Ability to translate data findings into actionable recommendations for operational and maintenance improvements.
  • Familiarity with predictive maintenance methodologies, reliability engineering principles, and asset lifecycle management.
  • Strong analytical, problem-solving, communication, and customer-facing skills.
  • Eligibility for a Top Secret/SCI security clearance.

Nice To Haves

  • 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 tools such as Power BI or Tableau.
  • Extensive knowledge of Department of Defense service activities and operations.
  • Experience working with new and emerging technologies.

Responsibilities

  • Gather, clean, and preprocess maintenance-related data from various sources.
  • Analyze maintenance data to identify patterns, trends, anomalies, and insights that can improve performance.
  • Create interactive dashboards, reports, and visualizations to communicate maintenance performance and trends.
  • Present findings to leadership and stakeholders to support decision-making.
  • Monitor and report on key performance indicators related to maintenance effectiveness, efficiency, and activities.
  • Collaborate with maintenance and operations teams to refine maintenance strategies, asset management, and operational processes.
  • Conduct root cause analysis of maintenance issues and recommend corrective actions.
  • Identify opportunities for process automation and efficiency improvements.
  • Support development of predictive maintenance models and strategies to anticipate equipment failures.
  • Assist in implementing preventive maintenance measures to reduce downtime and increase asset lifespan.
  • Ensure data accuracy and compliance with industry regulations, organizational policies, and data governance practices.
  • Ensure maintenance activities adhere to safety protocols and regulatory requirements.
  • Optimize maintenance workflows and resource allocation based on data analysis.
  • Gather stakeholder feedback to improve collaboration and effectiveness.

Benefits

  • Medical, prescription drug, dental, and vision insurance.
  • 401(k) retirement plan with company matching.
  • 11 paid Federal Government holidays.
  • Paid time off (PTO).
  • Basic life and supplemental life insurance.
  • Health Savings Account, Flexible Spending Account, and Dependent Care Flexible Spending Account.
  • Short-term and long-term disability.
  • Employee assistance program (EAP).
  • Tuition reimbursement, personal development, and learning opportunities.
  • Skills development and certifications.
  • Professional membership reimbursement.
  • Employee referral program.
  • Competitive compensation plan.
  • Discretionary variable incentive bonuses based on factors such as individual, business unit, and/or company performance.
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