Intern – Enterprise Analytics

MidAmerican Energy Company is seeking a student pursuing a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study. Enterprise Analytics interns will be exposed to a variety of projects and activities that occur within the energy industry. Interns will have the opportunity to apply their knowledge and skills learned through college and apply them to the workplace. The position is temporary, nonexempt, and full-time/hourly through the summer. 

Company and Internship Program Overview

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.

Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience.

Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's degree program in data analytics, computer science, management information systems, mathematics, or related field of study. Must be available May-August 2026. Working knowledge of Microsoft Office and the Windows operating environment.

Primary Job Duties and Responsibilities

• Identify partner teams' key problems, prototype solutions, and help solve business problems using statistical analysis, cloud technology and data science tools
• Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions.
• Collaborate with team members and other Data and Analytics interns to design, develop, and deliver advanced analytics projects.
• Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and PowerBI.
• Perform ETL, data engineering, and data wrangling in Python and SQL supporting advanced analytics projects.
• Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems.
• Develop data visualizations and dashboards using PowerBI to display and present advanced analytical model results as well as descriptive and exploratory analytics.
• Effectively communicate and present advanced analytics model results and project outcomes.
• Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth.
• Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning.
• Perform any additional responsibilities as requested or assigned.

Performance Expectations

• Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
• Establish and maintain effective work relationships within the department and the company.
• Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
• Maintain sensitive and confidential information regarding company information.
• Attend work on a regular basis and support the company’s employee policies and procedures, including workplace safety rules.
• Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Skills for Success

• Effective oral and written communication skills.
• Effective analytical and problem-solving skills.
• Effective interpersonal skills and customer relationship skills
• Ability to prioritize and handle multiple tasks and projects concurrently.
• Experience using Python to develop machine learning or statistical models.
• Experience using SQL to work with database tables and ETL processes.
• Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.

Pay Range: 20-26.00