Reliability Analyst (R5728)

What You'll Do:

• Build and maintain a trusted, configuration-aware reliability dataset that connects fleet operational data, maintenance activity, field failures, FRACAS records, and returned-material information.

• Improve the completeness, consistency, traceability, and usability of reliability records against established data-quality standards.

• Calculate and publish reliability and maintainability metrics, including MTBF, MTTR, failure rate, operational availability, and readiness impact.

• Establish repeatable 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 candidate top degraders before they materially affect fleet readiness.

• Build and maintain reliability-specific dashboards that reduce manual data preparation and provide stakeholders with timely, decision-ready information.

• Provide Reliability and Maintainability Engineering with prioritized, data-supported candidates for technical investigation and root cause analysis.

• Track corrective action status and post-implementation performance to determine whether completed actions are improving reliability, maintainability, availability, or readiness.

• Provide Fleet Support, Quality, and Engineering with historical trends, failure frequency, maintenance burden, and configuration-aware data to support investigations and decisions.

• Provide curated reliability data to Sustainment Analytics for use in broader fleet health and executive reporting.

• Partner with Configuration and Change Control to associate reliability records with the correct serial numbers, hardware revisions, software versions, payloads, and customer configurations while treating the as-maintained baseline as the system of record.

• Partner with Material Review Board Engineering to incorporate returned-material and disposition status into reliability reporting.

• Flag components with increasing failure rates, recurring defects, or growing repair burden to Reliability and Maintainability Engineering and Obsolescence and Lifecycle Management.

• Identify and resolve data-quality gaps, reporting blind spots, and automation opportunities within the reliability data pipeline.

• Document reliability data definitions, metric calculations, reporting standards, and processes to ensure the reporting function is consistent, auditable, and scalable as the fleet grows.

Required Qualifications:

• 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.

• Demonstrated ability to collect, clean, join, and structure data from multiple operational, maintenance, failure, or quality systems.

• Experience developing metrics, dashboards, or recurring reports that improved decision-making, increased visibility, or reduced manual reporting effort.

• Demonstrated success identifying and correcting data-quality, traceability, or reporting issues before they affected technical or business decisions.

• Proficiency with data analysis and visualization tools such as SQL, Excel, Python, Salesforce, Foundry, or similar platforms.

• Working knowledge of reliability and maintainability metrics, including MTBF, MTTR, failure rate, and operational availability.

• Experience working with structured systems such as FRACAS, maintenance databases, failure-tracking tools, quality systems, or service-management platforms.

• Ability to identify and communicate meaningful trends while distinguishing data-supported observations from engineering root cause conclusions.

• Ability to translate complex data into clear, decision-ready information for technical and non-technical audiences.

• Strong attention to detail, organization, and data-quality discipline.

• Ability to manage recurring reporting cadences, competing priorities, and ad hoc analytical requests in a fast-paced, fielded-product environment.

Preferred Qualifications:

• Experience improving reliability, maintenance, quality, or fleet-health reporting for aircraft, UAS, defense systems, robotics, or other mission-critical hardware.

• Demonstrated experience identifying an emerging product or fleet degrader through data analysis and supporting the organization’s response.

• Experience measuring the effectiveness of corrective actions using post-implementation performance data.

• Familiarity with FRACAS, Root Cause and Corrective Action, FMEA, Weibull analysis, reliability growth, or related reliability methods.

• Experience building dashboards or analytical environments for fleet health, operational availability, readiness, failure trends, or maintenance burden.

• Familiarity with configuration-controlled or as-maintained product data.

• Experience using statistical or reliability-analysis tools such as Minitab, JMP, ReliaSoft, or similar software.

• 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 preferred, or ability to obtain one.