Reliability Analyst

Responsibilities

• Build and maintain a trusted, configuration-aware reliability dataset connecting fleet operations, maintenance activity, field failures, FRACAS records, and returned-material information.
• Improve reliability-record completeness, consistency, traceability, and usability.
• Calculate and publish MTBF, MTTR, failure rate, operational availability, and readiness-impact metrics.
• Establish recurring reporting packages for fleet-health reviews, reliability readouts, FRACAS reviews, and top-degrader discussions.
• Analyze failure and maintenance data to identify emerging trends, recurring defects, and top degraders.
• Build dashboards that reduce manual preparation and provide timely, decision-ready insights.
• Provide prioritized, data-supported candidates for technical investigation and root-cause analysis.
• Track corrective actions and post-implementation performance to assess improvements in reliability, maintainability, availability, and readiness.
• Support Fleet Support, Quality, Engineering, Sustainment Analytics, Configuration and Change Control, Material Review Board Engineering, and Obsolescence and Lifecycle Management with curated, configuration-aware data.
• Associate reliability records with serial numbers, hardware revisions, software versions, payloads, and customer configurations using the as-maintained baseline.
• Identify data-quality gaps, reporting blind spots, and automation opportunities.
• Document data definitions, metric calculations, reporting standards, and processes.

Requirements

• Bachelor’s degree in Industrial Engineering, Statistics, Data Science, Mathematics, Systems Engineering, or a related quantitative discipline, or equivalent practical experience.
• 2+ years of experience in reliability analysis, maintenance analytics, quality reporting, product health, or a related data role supporting complex hardware.
• Experience collecting, cleaning, joining, and structuring data from operational, maintenance, failure, or quality systems.
• Experience developing metrics, dashboards, or recurring reports that improve decisions, increase visibility, or reduce manual effort.
• Experience identifying and correcting data-quality, traceability, or reporting issues.
• Proficiency with data analysis and visualization tools such as SQL, Excel, Python, Salesforce, Foundry, or similar platforms.
• Working knowledge of MTBF, MTTR, failure rate, and operational availability.
• Experience with FRACAS, maintenance databases, failure-tracking tools, quality systems, or service-management platforms.
• Ability to distinguish data-supported observations from engineering root-cause conclusions and communicate trends to technical and non-technical audiences.
• Strong attention to detail, organization, and data-quality discipline.
• Ability to manage recurring reporting, competing priorities, and ad hoc analysis in a fast-paced fielded-product environment.

Nice-to-haves

• Reliability, maintenance, quality, or fleet-health reporting experience for aircraft, UAS, defense systems, robotics, or other mission-critical hardware.
• Experience identifying emerging product or fleet degraders and supporting corrective responses.
• Experience measuring corrective-action effectiveness with post-implementation data.
• Familiarity with FRACAS, Root Cause and Corrective Action, FMEA, Weibull analysis, or reliability growth.
• Experience building fleet-health, availability, readiness, failure-trend, or maintenance-burden dashboards.
• Familiarity with configuration-controlled or as-maintained product data.
• Experience with Minitab, JMP, ReliaSoft, or similar statistical and reliability-analysis tools.
• Familiarity with military, government, defense aviation, or complex-hardware sustainment environments.
• Familiarity with ITAR, export-controlled technical data, or controlled customer environments.
• Active Secret or Top Secret clearance, or ability to obtain one.