Supply Chain Logistics Analyst
About The Position
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 Logistics Analyst Reporting To: Manager, AG Global Logistics Oper Work Schedule: Hybrid – Buffalo, NY Moog has a wonderful opportunity for a Supply Chain Logistics 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 Logistics 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.
Requirements
- Bachelor’s degree in computer science, data science, supply chain management, logistics management or related field is required.
- 3 years of experience in a similar role, with a focus on logistics data analysis including data cleaning, aggregation and interpretation.
- 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.
Nice To Haves
- Familiarity with Lean, Six Sigma or Continuous Improvement practices is preferred.
- Additional professional certifications in data analytics, supply chain or logistics preferred
Responsibilities
- 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 multi‑step 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 decision‑ready visualizations, and co‑design 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 guidance and support on performance improvement opportunities. Collaborate with Moog AI SME’s to test model behavior, assess hallucination/risk, and implement guardrails or fine‑tuning strategies. Provide training and support to operational teams adopting AI‑enabled workflows.
Benefits
- Comprehensive benefits package with day one enrollment
- Flexible Planned Vacation
- Diverse and Inclusive Workplace: Employee Resource Groups, cultural events and celebrations
- Generous 401k contribution and match
- Profit sharing for full-time employees
- Stock Purchase Program
- Onsite wellness center, pharmacy, and vision center
- Nature trails on campus
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
