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Gas Supply Planner - Evanston, Illinois, US

WEC Energy Group
2 days ago
Full-time
On-site
Evanston, IL, United States
Direct

Overview
If you think you are the right match for the following opportunity, apply after reading the complete description.
In this role you analyze supply and demand needs, support regulatory filings, and develop forecasts to help optimize the natural gas portfolio. You will collaborate with the Manager and other teams to ensure reliable deliverability while minimizing costs. The position involv
...
es participating in regulatory interactions and maintaining planning models to balance supply with demand. This is a hands-on role in a Fortune 500 energy company focused on safe, affordable energy and continuous improvement.
Compensation / Benefits
• competitive pay and benefits
Responsibilities
• Analyze monthly natural gas cost projections and scenarios for finance inputs using UI Planner
• Assist with Gas Supply Plan filings for state regulators and coordinate follow-ups with agencies and auditors
• Support development and oversight of utilities' natural gas financial hedge program filings
• Analyze peak day design city gate demand and interstate capacity allocations to meet design peaks
• Evaluate new customer load additions and gate station allocations for adequate interstate capacity
• Update monthly natural gas buy plans to align supply/demand and transportation plans
• Assist in updating storage injection/withdrawal plans to meet seasonal/annual demand
• Support regression modeling and demand forecasting for design day and long-term planning
• Provide ongoing guidance across gas trading and capacity portfolio management
• Participate in emergency xklufbp on-call rotation to support customer notification systems
• Make effective decisions amid changing responsibilities and processes
Key requirements
• Bachelor in Business
• Experience with Microsoft applications
• Organizing and planning skills to work independently
• Forecasting (regression analysis)
• UI Planner
• Gas supply planning and capacity management
• Regression modeling
• Demand forecasting
• Storage optimization

View the full posting and apply