Data Analyst

General Index•Houston, TX

18h•Onsite

About The Position

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. Assessing over 5000 traded markets, built on over 1.2mn monthly trades, in crude oil, refined products, natural gas, compute, 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. Trusted by market leaders including Bloomberg, BP, ExxonMobil, TotalEnergies, Two Sigma, BASF, Rio Tinto, Wood Mackenzie, and ADNOC, we're providing the next generation of benchmark data for trading and analysis. GX is seeking a full-time, Houston-based, Data Analyst to join the Product team.

Requirements

High level of numerical ability required, including strong familiarity with multivariate statistics
Accuracy and attention to detail, and a solid appreciation of willingness to understand how this position’s responsibilities impact the business
Solid Python programming experience, required. Python aptitude testing is part of the hiring process
Understanding and passion for integrating AI into work processes, required. Experience with Claude Code, strongly preferred
Highly proficient working with Excel
Teamworking skills, with the ability to work with the business to develop and implement technical solutions to improve operations
Desire and ability to work with global teams to accomplish shared objectives
Strong interest in commodity markets

Nice To Haves

Bachelor’s or Master’s degree in Computer Science or Engineering, preferred
Three or more years professional experience working with commodity markets data, preferred
Demonstrable experience building complex SQL queries preferred

Responsibilities

Learn and understand the basics of commodity trading and the price assessment process.
Work with the technical and markets teams to develop the assessment algorithms that underpin new and existing price benchmarks
Build new tools and processes to support the business as it grows
Provide operational and QA support for daily assessment processes
Build and support processes to clean and normalize market data from our market sources
Working with the markets team to capture requirements and implement price assessment algorithms
Configuring pipelines within our core system to implement assessment processes
Developing Python scripts and SQL queries to transform new trade and pricing data sources into our internal, normalized format
Working with the markets team to support the daily assessment and QA processes