Senior Analyst, Markets

Education, Skills and Experience

• Bachelor’s degree in Economics, Business Administration, Commerce, Engineering, or a related discipline - an advanced education such as a CFA or MBA (completed or in progress) is considered an asset.
• 3+ years of experience in energy trading, market fundamentals, or commercial roles within the energy sector, with a demonstrated ability to translate market insight into commercial value.
• Experience developing short term supply / demand and pricing models across commodities, including natural gas, NGLs, and crude oil, with a focus on decision support and business impact.
• Exposure to trading environments, with a solid understanding of hedging strategies, risk management principles, and cash flow forecasting, and the ability to apply these concepts to real world commercial outcomes.
• Strong quantitative and analytical capabilities, with proficiency in Excel; with a preference for experience using Python, SQL, AI, or similar tools to solve complex problems and automaterepeatable analyses.
• Experience leveraging data visualization and automation platforms (e.g., Power BI, Tableau) to distill complex datasets into clear, actionable insights for stakeholders.
• Excellent research, financial modeling, and presentation skills, coupled with strong critical thinking abilities to challenge assumptions, identify key drivers, and communicate insights effectively.
• Experience working with third party data providers (e.g., Wood Mackenzie, S&P Global, Enervus, Rystad, Energy Aspects, GeoScout, XI) and integrating external data into models and dashboards to enhance analytical rigor.
• Strong understanding of North American energy markets and infrastructure, with depth in WCSB fundamentals and global energy markets, including commodity pricing, quantitative / statistical modeling, and natural gas, NGL, and crude market dynamics.
• Demonstrated learning agility and intellectual curiosity, with the ability to quickly absorb new information, interpret short term market drivers (e.g., weather, storage, outages, geopolitical events), and convert insights into value added analysis and recommendations.

Hours