Supply Chain Analyst

**Blue Sky Req**

We are seeking a highly analytical and detail-oriented Aviation Supply Chain Analyst to support our end-to-end supply chain operations. This role will focus on data-driven decision-making to optimize procurement, inventory, and logistics processes within the aviation sector. The ideal candidate will have strong technical skills in SQL, Python, and data visualization tools such as Microsoft Power BI.

What you will be responsible for:

• Analyze supply chain data to identify trends, inefficiencies, and opportunities for cost savings and performance improvement.
• Develop and maintain dashboards and reports using Power BI to support real-time decision-making.
• Write complex SQL queries to extract, manipulate, and validate data from multiple sources.
• Use Python for data transformation, automation, and advanced analytics (e.g., forecasting, anomaly detection).
• Collaborate with procurement, logistics, and maintenance teams to ensure timely availability of aviation parts and materials.
• Monitor supplier performance and inventory levels to support just-in-time delivery and minimize downtime.
• Support strategic sourcing initiatives by providing data insights and scenario modeling.
• Assist in the implementation of supply chain systems and process improvements.

What you will need to be successful in this role:

• Bachelor’s degree in Supply Chain Management, Data Analytics, Engineering, or a related field.
• 2+ years of experience in supply chain analytics, preferably in the aviation or aerospace industry.
• Proficiency in SQL and Python for data manipulation and analysis.
• Experience with Microsoft Power BI or similar BI tools (e.g., Tableau, Qlik).
• Strong understanding of supply chain principles, including procurement, logistics, and inventory management.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills to present insights to technical and non-technical stakeholders.
• Familiarity with aviation maintenance systems (e.g., AMOS, TRAX, or similar).
• Experience with ERP systems such as SAP or Oracle.
• Knowledge of statistical modeling or machine learning techniques is a plus.
• This position requires compliance with International Traffic in Arms Regulations (ITAR). Candidates must be a U.S. Person as defined by ITAR (U.S. citizen, U.S. national, lawful permanent resident, or individual admitted as a refugee or granted asylum).

The rewards of your career at AAR go far beyond just your salary:

• Competitive salary and bonus package
• Comprehensive benefits package including medical, dental, and vision coverage.
• 401(k) retirement plan with company match
• Generous paid time off program
• Professional development and career advancement opportunities

Physical Demands/Work Environment:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee may be regularly required to sit, stand, bend, reach and move about the facility.
• The environmental characteristic for this position is an office setting.
• Candidates should be able to adapt to a traditional business environment.

AAR provides accommodation in accordance with applicable laws through all stages of the hiring process. If you require accommodation for any part of the application and/or hiring process, please advise Human Resources.
Compensation:

The anticipated salary range for this position is $70,000 to $90,000 annually. This range reflects the base salary for candidates who meet the requirements of the role, including experience, education, and location. AAR offers a competitive benefits package, including medical/dental/vision/life/and AD&D insurance, 401(k) savings plan with employer match, paid time off and holiday pay, as well as opportunities for professional development and growth.

#LI-PI1 #LI-HYBRID1