Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title :Supply Chain Analyst Reporting To: Sr. Supply Chain Project Manager Work Schedule: Hybrid - Buffalo, NYMoog has an opportunity for a Supply Chain Analyst to join our Central Supply Chain's Supplier Quality Excellence team. This position will support the simplification and continuous improvement of end-to-end supply chain performance. The Supply Chain Analyst will play a vital role in using technology to identify and enable data driven improvements in Moog's global supply chain and contribute to excellent customer satisfaction. To be considered for the Supply Chain Analyst role, here's what you'll need to bring with you: - Bachelor's degree in computer science, data science, supply chain management, logistics management or related field is required.- 3 years data analysis experience including data cleaning, aggregation and interpretation. Experience in supply chain or logistics data analysis preferred.- Proficiency in Python (pandas, NumPy, etc.) and SQL for data extraction, transformation and analysis.- Experience in data visualization, building dashboards and reports using Power Bi, Tableau, or Python visualization libraries (matplotlib, seaborn, etc.).- Familiarity with AI/LLM.- Experience calling LLM/model API's (GPT, Mistral, AWS Bedrock, etc.) or working with local LLMs; foundational prompt engineering and evaluation skills.- Strong communication skills to effectively convey the results of data analytics to enable key stakeholders to make informed business decisions.- Capability to work collaboratively within a multicultural geographically dispersed environment.- Familiarity with Lean, Six Sigma or Continuous Improvement practices is preferred.- Additional professional certifications in data analytics, supply chain or logistics preferred As a Supply Chain Analyst, you will be responsible to: - Data Analysis - Ensure that required data is accurately defined and digitized in a way that aligns with enterprise standards to enable reliable reporting. Ingest and if necessary, normalize the data from multiple enterprise sources to comprehensively analyze process data to identify trends, risks, inefficiencies and areas for improvement to enable cost effective and timely delivery of goods.- Technology Enablement - Identify, evaluate and support the implementation of emerging technologies that enhance analytics capabilities and enable data-driven automated decision-making. Utilize Artificial Intelligence (AI) / Large Language Model (LLM) to rapidly prototype LLM and agentic workflows for use cases that enable data driven decision making. Design prompts and multistep agent flows, maintain a prompt/agent library, and create repeatable evaluation protocols and metrics for model outputs. Collaborate with data architects, AI/ML SME's, and IT to define integration requirements, deployment checklists, monitoring, and rollback plans for validated prototypes. Document data contracts, model inputs/outputs, and operational procedures to support scaling and governance. Run demos, produce decisionready visualizations, and codesign pilots with team leads to ensure adoption and measure business value.- Reporting - Develop and maintain dashboards and reports to monitor standard enterprise Key Performance Indicators (KPIs). Examples include descriptive and predictive supply chain and logistics performance. Leverage KPI insights and AI adoption metrics to drive collaborative improvement with key stakeholders.- Stakeholder engagement & change enablement - Work closely with supply chain and logistics staff, suppliers and other stakeholders to provide g
