Lead Commercial Analyst

Chevron • Houston, LA

2d

About The Position

Support trading and commercial operations by analyzing market fundamentals, trade flows, competitor activity, and industry trends. The role is designed to provide actionable insights and data driven analytics that influence trading strategies and optimize commercial decisions.

Requirements

• Bachelor’s degree in Engineering, Economics, Finance, Applied Math, Data Science, or related field.
• Minimum of 3 years’ experience in U.S. natural gas markets covering supply/demand fundamentals, pipeline capacity, basis markets, and storage/transport optimization.
• Strong commercial judgment, ability to translate analytics into trade‑relevant recommendations, and comfort operating in fast-moving markets.
• Excellent communication and stakeholder management skills; proven collaboration with traders, schedulers, risk, and compliance.
• High ownership, integrity, and bias for action; ability to prioritize, adapt, and deliver results under time pressure.
• Collaborative team player who thrives in a fast-paced, global trading environment.
• Digital-first mindset with a passion for innovation and continuous improvement

Nice To Haves

• Hands‑on modeling skills; fluency in Excel and at least one of Python/SQL; proficiency with visualization tools (e.g., Power BI).
• Experience with advanced modeling software such as Databricks, Data Robot, Dataiku,etc. is a plus.
• Familiarity with end‑to-end desk workflows and systems (e.g., Endur) and decision‑support models (e.g., KYOS, FEA or similar).

Responsibilities

• Develop and maintain near‑term supply/demand fundamentals, produce market viewpoints and actionable trade recommendations in partnership with traders.
• Build and maintain models to evaluate long-term transport and storage contracts; support strategy development and performance tracking for transportation and storage assets.
• Provide daily decision support for storage operations (spot injections/withdrawals) and manage forward delta-hedging programs for storage and transport.
• Develop and maintain quantitative models and dashboards to forecast key market drivers, such as infrastructure, supply/demand balances, and production trends—leveraging advanced analytics and scenario planning.
• Identify and recommend trading opportunities using deterministic and stochastic modeling techniques, applying quantitative risk frameworks to guide decision-making
• Pilot and integrate advanced digital tools including machine learning, predictive analytics, and real-time data feeds to enhance trading performance and uncover new opportunities
• Conduct lookback performance reviews to assess forecast accuracy, market calls, and strategy effectiveness, driving continuous improvement
• Drive tool/dataset development (dashboards, analytics automation) to improve decision quality and speed across the desk.
• Champion process improvements by partnering with internal teams to optimize digital workflows, reduce manual effort, and accelerate / enhance insight generation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees