Remote AI & Automation Business Analyst (Low-Code)

COE Distributing, Inc.

United States

Remote

USD 80,000 - 120,000

Full time

6 days ago
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Job summary

COE Distributing, Inc. seeks a Business Analyst – Applied AI & Automation to drive AI adoption across the organization. You will partner with departments to translate business needs into practical, low-code solutions using Power Platform, Copilot Studio, and Azure AI services.

You will work with the IT team to define requirements, coordinate testing, and manage post-implementation feedback while championing AI capabilities to improve day-to-day workflows.

Qualifications

  • 2+ years of relevant professional experience in business analysis, process improvement, or automation.
  • Hands-on experience building automation or AI-enabled business solutions using Power Platform or similar.
  • Strong communication and interpersonal skills across business functions.

Responsibilities

  • Partner with departments to understand AI and automation goals and translate into practical solutions.
  • Evaluate and prioritize AI opportunities based on business value and effort.
  • Design, build, and implement low-code/no-code automation and AI-enabled solutions.
  • Prototype solutions, gather user feedback, and refine based on real-world use.
  • Coordinate testing and user acceptance for new apps and integrations.
  • Support post-go-live by gathering feedback and managing issues.

Skills

Business analysis
Process improvement
Automation
Stakeholder collaboration

Education

Bachelor's degree in Business/IT or related field

Tools

Microsoft Power Platform
Copilot Studio
Azure AI Services
Azure AI Foundry

Job description

COE Distributing, Inc. seeks a Business Analyst – Applied AI & Automation to drive AI adoption across the organization. You will partner with departments to translate business needs into practical, low-code solutions using Power Platform, Copilot Studio, and Azure AI services.

You will work with the IT team to define requirements, coordinate testing, and manage post-implementation feedback while championing AI capabilities to improve day-to-day workflows.

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