Network Modeler

  • Milwaukee, WI
  • Posted 5 days ago | Updated 5 days ago

Overview

On Site
Hybrid
Depends on Experience
Full Time

Skills

Change Management
SCADA
Systems Analysis
Analytical Skill
Attention To Detail

Job Details

Key Responsibilities

  • Develop and maintain electrical distribution and/or transmission network models using approved modeling software.

  • Integrate and verify data from GIS, SCADA, and field systems to ensure model accuracy and consistency.

  • Perform model troubleshooting, error resolution, and version control to ensure high data integrity.

  • Support planning and engineering studies, including load flow, fault analysis, and system performance assessments.

  • Implement model change processes, documenting updates and ensuring alignment with configuration management standards.

  • Collaborate with field engineers, planners, GIS specialists, and IT teams to ensure accurate data exchange and network representation.

  • Assist in root-cause analysis for modeling discrepancies and propose long-term corrective actions.

  • Support automation and process improvements for network modeling workflows.

  • Maintain awareness of industry standards and emerging modeling technologies.

Qualifications

Education:

  • Bachelor s degree in Electrical Engineering, Power Systems, Computer Engineering, or a related field.

Experience:

  • 4 6 years of experience in electrical network modeling, power systems analysis, or a related engineering discipline.

  • Hands-on experience with GIS (Geographic Information Systems) and electrical modeling platforms such as CYME, Synergi, PowerFactory, PSS E, or equivalent.

  • Demonstrated experience in data troubleshooting, model change management, and network data validation.

  • Familiarity with utility operations, SCADA, and asset data systems preferred.

Skills and Competencies

  • Strong understanding of electrical system fundamentals, including transmission and distribution networks.

  • Proficiency in GIS tools and data integration workflows.

  • Excellent analytical, problem-solving, and troubleshooting abilities.

  • Detail-oriented with strong data management and documentation skills.

  • Ability to work collaboratively across multidisciplinary teams.

  • Strong communication skills and ability to explain technical information clearly.

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