Global Logistics Analytics Intern: AI & Dashboards

Standard Aero; Scottsdale (AZ); On-site; USD 21,000 - 30,000; Part time

Job summary

StandardAero is offering a part-time Global Logistics Intern position at our Scottsdale, AZ headquarters for the spring semester starting January 2027. You will work with the Global Logistics team to leverage data, analytics, and technology to optimize our global logistics network, gaining hands-on experience with real-world logistics data.

You will develop dashboards, apply predictive analytics, and explore AI and automation to improve reporting, data quality, and decision support across

Qualifications

• Authorized to work in the US.
• High school diploma or equivalent.
• Pursuing a bachelor’s or master’s in Supply Chain, Logistics, Business Analytics, or related field.
• Strong analytical skills with ability to work with large datasets.
• Available to work approximately 20–30 hours per week during spring semester.

Responsibilities

• Develop logistics dashboards and analytics that provide visibility into KPIs such as transportation spend, shipment volumes, service performance, and transit times.
• Apply predictive analytics to logistics data to identify trends and improve planning and decision‑making.
• Analyze transportation volume and spend data to identify optimization opportunities and cost reductions.
• Explore use of AI, automation, and advanced analytics to improve logistics processes and reporting.
• Support improvements to data quality, reporting automation, and KPI standardization across locations.

Skills

Data analysis

Analytical thinking

Excel pivot tables

Visualization

Communication skills

Problem solving

Education

Pursuing bachelor's or master's in supply chain/logistics/analytics

High school diploma or equivalent

Tools

Power BI

SQL

Python

Alteryx

Job description

StandardAero is offering a part-time Global Logistics Intern position at our Scottsdale, AZ headquarters for the spring semester starting January 2027. You will work with the Global Logistics team to leverage data, analytics, and technology to optimize our global logistics network, gaining hands-on experience with real-world logistics data.

You will develop dashboards, apply predictive analytics, and explore AI and automation to improve reporting, data quality, and decision support across