Maintenance Data Analyst

Entarian is seeking a Maintenance Data Analyst to support the meshONE-T program by analyzing maintenance data, surfacing trends, and delivering actionable insights that strengthen maintenance effectiveness and system reliability.

Key Responsibilities

• Collect, clean, and analyze maintenance data to identify patterns, trends, and anomalies.
• Preprocess maintenance-related data from multiple sources to ensure it is usable for analysis and reporting.
• Develop interactive reports, dashboards, and visualizations to communicate findings to stakeholders and leadership.
• Monitor KPIs tied to maintenance effectiveness and efficiency, and track performance over time.
• Collaborate with maintenance and operations teams to improve asset management and preventive maintenance strategies.
• Perform root cause analysis of maintenance issues and recommend corrective actions based on findings.
• Support predictive maintenance strategy development and contribute to the implementation of preventive maintenance measures aimed at reducing downtime and improving asset lifespan.
• Ensure data integrity, accuracy, and compliance with industry regulations and organizational policies within maintenance management systems.
• Maintain and enhance data governance practices for maintenance data and systems.
• Assist in optimizing maintenance workflows and resource allocation using data-driven analysis.
• Identify opportunities for process automation and efficiency improvements informed by maintenance data.
• Develop models for predictive maintenance to anticipate equipment failures.
• Gather feedback from stakeholders to improve collaboration and effectiveness.
• Support requirements for safety protocols and regulatory compliance across maintenance activities.

Required Qualifications

• Bachelor’s degree in Data Science, Engineering, Statistics, Information Technology, or a related field (or equivalent experience).
• 5+ years of progressive experience in maintenance data analysis, operational data analysis, reliability, logistics, or a related field.
• Proficiency with data analysis tools including Python, R, SQL, Excel, or similar technologies.
• Experience using maintenance management systems such as CMMS, EAM, REMIS, or similar platforms.
• Experience building reports, dashboards, and data visualizations with tools such as Power BI or Tableau.
• Ability to convert analytical results into practical 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.

Technology Stack

• Python, R, SQL, Excel
• Power BI, Tableau
• CMMS, EAM, REMIS

Benefits

• Medical, Rx, Dental, and Vision Insurance
• 401(k) retirement plan with company-matching
• 11 Paid Federal Government Holidays
• Paid Time Off (PTO)
• Basic Life & Supplemental Life
• Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Employee assistance program (EAP)
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Professional Membership Reimbursement
• Employee Referral Program
• Competitive compensation plan
• Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company’s performance

Job Type, Work Schedule, and Environment

• Full-Time position with a Monday through Friday schedule.
• May require work outside regular business hours to address urgent priorities.
• In-office role directly supporting improvement and maintenance activities.

Location, Travel, and Clearance

• Onsite in Colorado Springs, CO.
• Additional location coverage includes Colorado Springs, Colorado, Denver, Colorado, or El Segundo, California.
• Some travel between locations in Colorado and California.
• Top Secret/SCI eligible security clearance.

Compensation

• USD 110,000 - 120,000 per year (Salary range: $110 – 120k).

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.
• Experience working in new and with emerging technologies.