Supply Chain Analyst delivering advanced analytics for optimizing supply chain in aerospace and defense sector. Focus on data modeling, forecasting, and compliance with industry regulations.
Responsibilities
Joining the newly created Supply Chain Center of Excellence.
Advanced analytics, planning, and optimization of supply chain operations in a complex aerospace and defense environment.
Driving efficiency, mitigating risks, and supporting predictive analytics to ensure continuity of supply for critical programs.
Designing and optimizing PFEP frameworks, and SIOP processes through advanced analytics, modeling, and automation.
Transforming supply chain data into scalable decision-making systems and supporting Supply Chain executive reporting.
Standup standardized supply chain dashboards and visual management tools.
Build data models to analyze and optimize supply chain processes across procurement, planning, logistics, supplier development and strategic sourcing.
Establish and maintain reporting used in SIOP process in relation to supply.
Improve shortage visibility tied to revenue, reduce manual reporting, and improve data alignment, while providing predictive analytics to identify and reduce supply risks.
Develop and maintain component level forecasting models.
Partner with suppliers and internal stakeholders to improve delivery performance and reduce lead times.
Identify cost-saving opportunities and support strategic sourcing initiatives.
Perform spend analysis and support strategic sourcing team activities.
Develop dashboards and reporting tools to track key performance indicators.
Ensure compliance with aerospace and defense regulations (e.g., ITAR, FAR/DFARS).
Support audits and contribute to continuous improvement initiatives (Kaizen, Lean, Six Sigma).
Mentor junior analysts and support cross-functional project teams.
Requirements
Bachelor’s degree in Supply Chain Management, Data analytics, Business, Systems Engineering, or related field
5-7 years of relevant supply chain experience
Strong analytical skills with experience in data modeling and forecasting
Advanced proficiency in Excel and data analysis tools
Experience with ERP/MRP systems (IFS, SAP, Oracle, etc.)
Strong understanding of supply chain principles and best practices
Ability to manage multiple priorities in a fast-paced, regulated environment
Experience in aerospace, defense, or other highly regulated industries preferred
Knowledge of Lean, Six Sigma, or continuous improvement methodologies preferred
Experience with data visualization tools (e.g., Power BI, Tableau) preferred
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