Data Analyst

General Index (GX) is the alternative to traditional Price Reporting Agency commodity publishing. We combine leading technology with in-depth industry knowledge to produce high-quality and commercially attractive energy and commodity pricing data.

We deliver future-proof commodity prices with spot prices and forward curves calculated algorithmically based on thousands of daily trades collated from 240+ data partners, using transparent and consistent methodologies.

Producing 5,500+ daily prices across crude oil, refined products, natural gas, and energy transition commodities, we’re trusted by market leaders including Bloomberg, BP, Exxon Mobil, Total Energies, and Two Sigma.

With offices in London, Houston, Singapore and Krakow, we are continuing to scale and grow globally. Our clients include some of the world’s biggest commodity trading companies, IOCs and NOCs.

GX is built on technology, providing a high degree of automation to support our rigorous, expert-led assessment methodologies. We take market data from a wide range of sources, which we clean, validate, and normalize. This allows us to use our pricing algorithms to produce consistent, high-quality price assessments efficiently and cost effectively.

We’re continuing to scale rapidly, leading the commodities data industry in the application of new technologies such as AI to real-world problems.

GX is seeking a full-time Data Analyst to join the Data group reporting to the Data Director, Americas.

The analyst will:

• 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.

• Minimum Bachelor’sdegree 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 Claude Code, in day-to-day tasks.
• High level of numerical statistical ability.
• Accuracy and attention to detail.
• Team working skills and ability to 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)

• Full-time role, working out of our Houston office.
• 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