Commercial Analyst

What You’ll Do

• Analyze commodity pricing, basis differentials, and regional market trends to support trading and marketing strategy across multiple basins
• Build and maintain models for revenue forecasting, hedge analysis, and realized pricing performance; own the integrity of the numbers leadership relies on
• Support the evaluation and execution of hedging strategies, including tracking open positions, exposures, and mark-to-market performance
• Analyze gathering, processing, and transportation agreements to identify cost-saving and optimization opportunities across our operating areas
• Partner with Operations to optimize production flows, takeaway capacity utilization, and contract nomination strategies
• Track and report on key commercial metrics—realized vs. benchmark pricing, gathering costs per Mcfe, and processing margin capture
• Aid in acquisition modeling by developing commercial assumptions, building scenario analyses, and supporting integration planning for new assets
• Develop dashboards and self-service reporting tools that give leadership timely, actionable visibility into commercial performance
• Ensure data integrity and consistency across commercial, financial, and operational systems

Qualifications

• Strong financial and quantitative modeling skills, including advanced Excel; experience with SQL, Python, or BI/visualization tools is a plus
• Working knowledge of commodity markets, basis dynamics, midstream contract structures, or energy economics
• Ability to synthesize complex, multi-variable data into clear recommendations—and to know when the data doesn’t support a conclusion
• Clear communicator who can present to senior leadership and collaborate effectively across Commercial, Finance, and Operations
• Self-starter who builds things without being asked and thrives in a fast-moving, scaling organization where ambiguity is the norm
• 2–5 years of experience in oil & gas, energy trading, investment banking, consulting, or a comparable analytical role; you’ve built models that informed real decisions
• Bachelor’s degree in Finance, Economics, Engineering, Mathematics, or a related field