Artificial Intelligence (AI) Analyst

Factory Motor Parts Careers•Eagan, MN

2d•Onsite

About The Position

We are seeking a motivated and forward-thinking AI Analyst to help drive automation, operational efficiency, and advanced analytics across the organization. This individual will partner with internal departments including Finance, Logistics, Pricing, Merchandising, and Marketing to identify manual processes, implement AI-driven solutions, and generate actionable insights that support strategic decision-making. This role is ideal for someone who thrives in a fast-paced environment, can meet short deadlines, and is passionate about leveraging AI tools to create measurable business impact.

Requirements

Bachelor’s degree in Business Analytics, Data Science, Information Systems, Computer Science, or a related field
1–3 years of professional experience in data analysis, operations, workflow automation, or related technical role
Experience using n8n, Claude, Chat GPT, Gemini, RPA, and workflow automation in a business or project based setting
Familiarity with SQL or database querying concepts
Proficiency in Microsoft Excel (formulas, pivot tables, VBA/macros)
Strong communication skills with both technical and non-technical stakeholders
Highly motivated self-starter who thrives in a fast-paced, deadline-driven environment

Nice To Haves

Exposure to API integrations and system connectivity
Experience with SQL, Python, or similar scripting language
Experience with data visualization tools (Power BI, Tableau, or similar)
Understanding of best practices regarding AI Governance

Responsibilities

Work with cross-functional teams to drive project success
Design, build, and maintain automated workflows using n8n, UiPath (RPA), and supporting AI tools to eliminate manual, repetitive processes across departments
Leverage AI platforms (Claude, ChatGPT, Gemini) to extract, transform, and analyze data from diverse sources including PDFs, spreadsheets, databases, and enterprise systems
Quickly develop and test AI-driven solutions to address immediate business needs within short, demanding deadlines
Identify manual, repetitive, and time-intensive processes across departments and design automation solutions
Manage multiple concurrent projects with tight deadlines
Translate business questions into analytical frameworks and actionable outputs