AI Analyst

Fairbanks Morse Defense; Fairfield (OH); On-site; USD 70,000 - 100,000; Full time

Job summary

American Fan is seeking an AI Analyst to support the VP/GM and cross‑functional teams in identifying, evaluating, and implementing AI and data solutions. You will focus on analysis, prototyping, and measurement of AI use cases within strict defense and compliance guardrails.

The role involves analyzing processes to spot AI opportunities, collecting and cleaning data, and building dashboards to track ROI and operational outcomes.

Qualifications

• Bachelor’s degree in data science, CS, statistics, engineering or related field.
• 2–5 years in data analysis, analytics or applied AI/ML in regulated environments.
• Proficiency in SQL and Python or R; BI tools like Power BI or Tableau.
• Familiarity with ML concepts and model evaluation.
• Understanding data governance, security and compliance in defense or regulated sectors.
• Ability to translate business problems into analytical questions and communicate findings.

Responsibilities

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

Skills

SQL

Python

R

Power BI

Tableau

Data governance

Communication

Problem solving

Education

Bachelor’s degree in Data Science/CS/Statistics/Engineering

Job description

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 technicalleadership. 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 movementproducts for unique applications. Our sales distribution base consists of a diverse group ofknowledgeable agents/representatives. Together with our in-house sales staff they deliver a very high level of customer service.

Job Title:

AI Analyst

Reports to:

VP/GM

Summary

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.

Key Responsibilities

• 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.

Preferred Qualifications & Requirements

• 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.