Intern - Business Analytics

BHEUrbandale, IA
12h

About The Position

MidAmerican Energy Company is seeking a student pursuing a bachelor’s degree in business, business analytics, management information systems, computer science, data analytics, or a related field graduating later than August 2026. The Business Analyst Intern will support IT and Change Management initiatives through business process analysis, development and refinement of Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI), and by partnering with business subject matter experts to support technical enablement needs. The role may also support responsible use of AI capabilities, including Copilot usage, agent or automation development. Other opportunities may include leveraging HTML and analytics skills to enhance Oracle Guided Learning content, assess active guided learning assets, and identify opportunities to improve system adoption through data‑informed insights. Interns will be exposed to a variety of projects and activities that occur within the energy industry and will have the opportunity to apply knowledge and skills learned through college to real‑world business and technology needs. The position is temporary, nonexempt, and full‑time/hourly through the summer.

Requirements

  • Student pursuing a bachelor’s degree in business, business analytics, management information systems, computer science, data analytics, or a related field graduating later than August 2026

Responsibilities

  • Support IT and Change Management initiatives through business process analysis
  • Development and refinement of Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI)
  • Partnering with business subject matter experts to support technical enablement needs
  • Support responsible use of AI capabilities, including Copilot usage, agent or automation development
  • Leveraging HTML and analytics skills to enhance Oracle Guided Learning content
  • Assess active guided learning assets
  • Identify opportunities to improve system adoption through data‑informed insights
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