Data Analyst

General Index; Houston (TX); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Employee medical coverage

Up to 20 days vacation and medical leave

Job summary

A leading pricing data firm is seeking a Data Analyst to join their Houston office. The role involves supporting data publication, collaborating with teams, and managing data integrity using Python and Excel. Candidates need a relevant Bachelor's degree and skills in Python data engineering and Excel. This full-time position offers opportunities for growth and a chance to impact the business quickly within a world-class team.

Qualifications

• Minimum Bachelor’s degree in a relevant field from a leading university/college.
• Experience with Python for data engineering, processing and analysis.
• Proficient working with Excel.
• Comfortable using AI tools, such as ClaudeCode, in day-to-day tasks.

Responsibilities

• Support the end-of-day publication and QA process.
• Coordinate with the Pricing Team to capture requirements.
• Update logic, launch new indexes and build robust data pipelines.
• Become an expert user of our proprietary pricing platform.

Skills

Python for data engineering

Excel

Numerical statistical ability

Attention to detail

Teamworking skills

Education

Bachelor’s degree in a relevant field

Job description

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, ExxonMobil, TotalEnergies, 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.

About the role

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.

What we're looking for

• MinimumBachelor’sdegree in a relevant field from a leading university/college
• Experience with Python for data engineering,processingand analysis.Pythontest 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.
• 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)

We offer

• 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