Global Logistics Intern (Spring)

Build an Aviation Career You're Proud Of At StandardAero, we use our ingenuity and know-how to find solutions for the simple to the most complex challenges in aviation. Together, we get the job done and done well. Our stability, resources, and respectful culture supports you in building a solid career with a great team you can count on day in and day out for the long term. As a Global Logistics Intern at StandardAero, you'll work with our Global Logistics team to improve how we use data, analytics, and technology to manage and optimize our global logistics network. You'll gain hands‑on experience working with real‑world logistics data while supporting projects focused on visibility, predictive analytics, cost optimization, and operational performance. This is a part‑time spring semester internship starting in January 2027 at our Scottsdale, AZ headquarters. What You'll Do: Develop logistics dashboards and analytics that provide visibility into transportation spend, shipment volumes, service performance, transit times, carrier performance, and other key logistics KPIs. Apply predictive analytics to logistics data to identify trends, anticipate potential issues, and improve transportation planning and decision‑making. Analyze transportation volume and spend data to identify optimization opportunities, including cost reductions, mode optimization, shipment consolidations and carrier utilization. Explore opportunities to use AI, automation, and advanced analytics to improve logistics processes, reporting, and decision‑making. Support improvements to logistics data quality, reporting automation, and KPI standardization across locations and systems. Conduct targeted analyses and develop business cases for logistics improvement opportunities, quantifying potential cost, service, and operational benefits. Contribute to strategic carrier business reviews. Position Requirements: Must be authorized to work in the US High school diploma or equivalent required Currently pursuing a bachelor's or master's degree in Supply Chain Management, Logistics, Business Analytics, or a related field. Strong academic performance with demonstrated interest in supply chain management, logistics, and analytics. Available to work approximately 20-30 hours per week during the spring semester. Strong analytical and problem-solving skills, with the ability to work with large datasets and identify meaningful trends, patterns, and opportunities. Proficiency in Microsoft Excel, including pivot tables, lookups, formulas, data manipulation, and analytical modeling. Ability to translate complex data into clear insights, recommendations, and visualizations for business stakeholders. Attention to detail, with an emphasis on data accuracy, validation, and quality. Strong written and verbal communication skills. Interest in learning about global logistics networks, carrier management, logistics technology, cost optimization, and wider scope supply chain operations. A continuous‑improvement mindset and interest in using technology, automation, AI, and analytics to solve business problems. Preferred Qualifications: Previous internship or work experience involving supply chain, logistics or analytics. Experience with Power BI or similar data visualization tools. Familiarity with SQL, Python, R, Alteryx, or similar data and analytics tools. Exposure to predictive analytics, statistical analysis, machine learning, or optimization techniques through coursework, projects, or prior experience. #J-18808-Ljbffr Standard Aero