General Index (GX) delivers future-proof commodity prices. Our spot prices and forward curves are calculated algorithmically based on thousands of daily trades collated from 240+ data partners, using transparent and consistent methodologies and a compliant approach.
Producing 5,900+ daily prices in crude oil, refined products, natural gas and energy transition, we democratize access to benchmarks that represent real market activity. We’re easy to use, with hassle-free integrations and straight-forward licensing - providing more choice to the industry.
With offices in London, Krakow, Houston and Singapore, GX is now scaling our go-to-market team and we are looking for an enthusiastic Data Analyst to join us, learning and growing alongside our business.
About the role:
We're seeking a full-time Data Analyst to join the Data group reporting to the Data Director, Americas.
Your day-to-day will include:
- Support the end-of-day publication and QA process by ensuring all customer-facing indexes are delivered on time and accurately.
- Coordinate with the Pricing Team to capture requirements and implement new data features
- Update logic, launch new indexes and build robust data pipelines conforming to the company’s coding standards
- Become an expert user of our proprietary pricing platform, helping ensure data quality and supporting other users.
- Collaborate with the Development teams to test new functionality and provide feedback on platform improvements.
- Manage local workflows and coordinate with international teams to ensure client data is published on time globally.
- Build new tools, processes, and Python scripts to clean, normalize, and transform market data from our sources into our internal format
- Support day-to-day management of models, monitoring outliers, and maintaining data integrity.
- Learn and grow their knowledge of commodity markets and price assessment processes.
About you:
- Minimum Bachelor’s degree in a relevant field from a leading university/college.
- Experience with Python for data engineering, processing and analysis. Python test will be required.
- Proficient working with Excel.
- Comfortability using AI tools, such as ClaudeCode, in day-to-day tasks.
- High level of numerical statistical ability.
- Accuracy and attention to detail.
- Teamworking skills andabilityto take initiative.
- Relevant degree, qualification, or experience that demonstrates capability and learning suitable for this role.
- Interest or experience in traded commodities, oil, or energy markets (preferred but not required).
We offer:
- Share options after probation period.
- Learning and having a real impact on our business quickly.
- Opportunity to work with a world-class team with market leading experience in information and energy pricing.
- Employee medical coverage.
- Up to 20 days of vacation and medical leave.
- A 401(k) plan.
- competitive compensation.
