Insight Global

Structural Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Structural Analyst with a Bachelor's in Mechanical or Aerospace Engineering, requiring 2-5 years of relevant experience, programming skills (C, C++, Python, SQL), and knowledge of heat transfer or structural analysis. Location: West Palm Beach, FL; Duration: 6+ months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
January 28, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
West Palm Beach, FL
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🧠 - Skills detailed
#GitHub #Programming #Linux #C++ #Data Science #Matlab #Agile #Jira #Scripting #Cloud #Data Bricks #Python #Data Analysis #Data Management #SQL (Structured Query Language) #Deployment
Role description
Required Skills & Experience - Bachelors degree in Mechanical or Aerospace Engineering - 2-5 years of experience in mechanical engineering, structural engineering, or data scientist roles - Basic computer programming experience (C, C++, Python, SQL) - Experience or knowledge of heat transfer or structural analysis Nice to Have Skills & Experience - Proficiency with MATLAB and Agile tools (Jira, GitHub) - Strong Microsoft Project, Word, PowerPoint, and Excel skills - Familiarity with lifing tools (ANSYS, PWLife, SURCK, AutoLife NT) - Knowledge of Data Bricks Job Description Insight Global is seeking a Structural Analyst for a leading aerospace and defense organization in West Palm Beach, FL. In this role, the ideal candidate will contribute to the development and deployment of advanced diagnostics, prognostics, analytics, and Usage-Based Lifing (UBL) methods that enable Condition-Based Maintenance (CBM) for military/commercial jet engines. Responsibilities: - Collaborate with component centers and engineering disciplines to develop and validate UBL algorithms - Create software requirements and test cases for UBL systems - Support Accelerated Mission Testing (AMT) and report UBL results - Analyze UBL results to inform life management strategies Perform data analysis and correction of life tracking using advanced lifing algorithms - Apply real-time stress and temperature models combined with proprietary design lifing systems (LCF, CGR/Damage Tolerance, Oxidation/Erosion) - Review fleet data, run algorithms, troubleshoot issues, and implement corrections - Work closely with Customer Support Engineering, Field Service Engineers, and Fleet Data Management teams - Utilize high-performance Linux clusters and cloud-based platforms with Python and SQL scripting - Contribute to the goal of baselining lifing data to enable maintenance management with advanced lifing algorithms within 1–3 years