Ai Analyst - American Fan

American Fan

American Fan is a manufacturer of air movement equipment for Industrial, HVAC, Commercial, Marine, and specialty markets. Throughout our history, the quality and reliability of our products has been built upon a solid foundation of unrivaled application expertise and technical leadership. As a small manufacturer who is part of a well-respected international corporation, we are best known for our willingness to design and manufacture specialty air movement products for unique applications.

Our sales distribution base consists of a diverse group of knowledgeable agents/representatives. Together with our in-house sales staff they deliver a very high level of customer service.

Date:
August 2026

Reports to:

VP/GM

The AI Analyst supports the VP/GM and cross-functional teams in identifying, evaluating, and implementing AI and data solutions. The role focuses on analysis, prototyping, and measurement of AI use cases within strict defense and compliance guardrails.

• Analyze business processes to identify AI and data opportunities that improve efficiency, quality, and decisions.
• Collect, clean, and analyze structured and unstructured data to support AI model development and performance tracking.
• Build and maintain dashboards, reports, and metrics to measure AI initiative impact (ROI, risk, operational outcomes).
• Run feasibility assessments and proofs-of-concept for AI tools (e.g., predictive models, copilots, automation workflows).
• Document AI use cases, data sources, risks, and controls in line with security, privacy, and defense standards.
• Partner with IT, data engineering, and security to ensure data access and use follow established guardrails and policies.
• Support training and change management with clear documentation, demos, and user guidance.

• Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field;
  Master's a plus.
• 2-5 years in data analysis, business analytics, or applied AI/ML, ideally in regulated or security-conscious environments.
• Proficiency in SQL and at least one analytics language (Python or R), plus BI tools (e.g., Power BI, Tableau).
• Familiarity with core ML concepts (classification, regression, NLP, clustering) and basic model evaluation.
• Solid understanding of data governance, security, and compliance, especially for defense or highly regulated sectors.
• Ability to translate business problems into analytical questions and communicate findings to technical and non-technical audiences.