Supply Chain Analyst

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Moog 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 guidance and support on performance improvement opportunities. Collaborate with Moog AI SME's to test model behavior, assess hallucination/risk, and implement guardrails or finetuning strategies. Provide training and support to operational teams adopting AIenabled workflows.

How we care for you:

• 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

Salary Range Transparency:

Salary Range Disclaimer

The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits.

This position requires access to U.S. export-controlled information.

EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran

Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at 844-367-5787.

No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.