Data Analyst - 6 Month Contract

Responsibilities

In this high-impact role, you’ll work at the intersection of data science, energy economics, and global trends
You’ll partner closely with industry experts to build intelligent data models that decode margins, forecast shifts, and deliver insights across the oil and refining sectors
Design and deploy advanced models using Python and SQL to track energy trends and market margins
Integrate geopolitical, environmental, and regulatory dynamics into your models
Leverage AI and prompt engineering to automate reporting and unlock deeper insights
Collaborate with analysts to ensure clean, accurate, and real-world-reflective data
Continuously improve tools through performance monitoring and innovation
Dive into research that informs strategy, identifies competitors, and reveals market opportunities

Bachelor’s in Chemical Engineering, Economics, Mathematics, or a related field
3+ years in a data analysis or modeling role—ideally with exposure to oil, gas, or refining
Proficiency in Python, SQL, and visualization tools (Power BI, Tableau, or Matplotlib)
Familiarity with generative AI and how to apply it to real-world data tasks
Clear communication and a collaborative spirit across technical and commercial teams

🌟 Industry experience in refining, petrochemicals, or commodity markets
📈 Understanding of regulatory environments
💡 Knowledge of machine learning, forecasting, or big data tools
If you're ready to bring your analytical skills to a fast-paced, globally impactful environment—we’d love to hear from you. This is your chance to shape critical insights that power smarter decisions across the energy industry.