Power Platform IT Analyst: Apps, Automation & AI

Dow Inc.; Mount Pleasant (MI); On-site; USD 85,000 - 120,000; Full time

Job summary

Dow Inc. seeks an Information Technology Analyst – Power Platform to join our Midland, MI or Houston, TX teams. You will develop and support Power Apps, Power Automate, Dataverse, Copilot Studio and AI Builder, working with developers, architects and business stakeholders to deliver secure, scalable solutions.

You’ll participate in the SDLC from analysis through deployment, ensuring governance, security and maintainable designs while expanding skills in AI capabilities and cloud integration.

Qualifications

• Bachelor’s degree or military experience at or above US E5 or Canadian rank, or 3 years of relevant experience.
• Authorized to work in the United States; no visa sponsorship available.

Responsibilities

• Develop, test, deploy and support Power Platform solutions.
• Create Canvas and Model-Driven Apps, workflows and automation.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Follow governance, security and ALM practices for solutions.
• Manage environments, deployments, access, connectors and platform configs.
• Assist with DLP policies, security roles and governance controls.
• Support solution lifecycle management, pipelines and source control.
• Troubleshoot incidents and performance issues in production.

Skills

Learning agility

Communication

Problem solving

Customer focus

Teamwork

Continuous improvement

Education

Bachelor’s degree or military experience

Tools

Power Platform

Dataverse

Copilot Studio

AI Builder

Azure DevOps

Git

CI/CD concepts

REST APIs

SharePoint

Job description

Dow Inc. seeks an Information Technology Analyst – Power Platform to join our Midland, MI or Houston, TX teams. You will develop and support Power Apps, Power Automate, Dataverse, Copilot Studio and AI Builder, working with developers, architects and business stakeholders to deliver secure, scalable solutions.

You’ll participate in the SDLC from analysis through deployment, ensuring governance, security and maintainable designs while expanding skills in AI capabilities and cloud integration.