Maintenance Data Analyst

Entarian•Colorado Springs, CO

6d•Onsite

About The Position

Entarian is hiring a Maintenance Data Analyst to support its meshONE-T program and the development, implementation, and operation of the broader meshONE capability for the United States Air Force, United States Space Force, and mission partners. The analyst will use maintenance data to identify trends, optimize maintenance processes, improve system reliability, and inform decisions. The role includes collecting, cleaning, and analyzing data; building reports, dashboards, and visualizations; monitoring maintenance KPIs; and translating findings into recommendations. The analyst will collaborate with maintenance and operations teams on asset management, preventive and predictive maintenance, root-cause analysis, workflow improvement, and resource allocation. The position also supports data integrity, governance, compliance, and safety requirements. This is a full-time, in-office position 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 position requires Top Secret/SCI eligibility.

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 with 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.
Top Secret/SCI eligibility.

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 opportunities to improve performance.
Develop reports, interactive dashboards, and visualizations to communicate maintenance performance and trends.
Present findings to leadership and stakeholders to support decision-making.
Monitor and report on KPIs 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 analyses of maintenance issues and recommend corrective actions.
Support development and implementation of predictive maintenance models and strategies.
Assist with preventive maintenance measures to reduce downtime and extend asset lifespan.
Ensure data accuracy and compliance with industry regulations and organizational policies.
Maintain and enhance data governance practices within maintenance management systems.
Identify opportunities for process automation and efficiency improvements.
Optimize maintenance workflows and resource allocation based on data analysis.
Ensure maintenance activities adhere to safety protocols and regulatory requirements.
Gather stakeholder feedback to improve collaboration and effectiveness.

Benefits

Medical, prescription, 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.