Commodity Data Analyst - AI-Driven Price Benchmarks

General Index Limited; Houston (TX); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Private health and dental insurance

401k plan

Mentoring support

Structured development

Positive and high-energy culture

Job summary

General Index Limited in Houston, TX is seeking a Data Analyst to develop expertise in commodity trading and price assessment, supporting our mission to deliver trusted benchmark data to industry leaders.

You'll work with the product and markets teams to build assessment algorithms, transform trade and pricing data with Python and SQL, ensure data quality, and help scale tools as GX grows.

Qualifications

• Bachelor's or Master's degree in Computer Science or Engineering.
• Three+ years of professional experience with commodity markets data.
• Strong numerical ability and understanding of multivariate statistics.
• Excellent Python programming skills; Python aptitude testing will be part of the process.
• Experience integrating AI into workflows (Claude Code preferred).
• Proficient in building complex SQL queries and Excel analyses.
• Team player comfortable working with global teams to achieve objectives.

Responsibilities

• Learn and understand commodity trading basics and price assessment processes.
• Develop assessment algorithms in collaboration with technical and markets teams.
• Build tools and processes to support business growth.
• Provide operational and QA support for daily assessment processes.
• Clean and normalize market data from multiple sources.

Skills

Python programming

SQL queries

Excel proficiency

Multivariate statistics

AI integration

Claude Code

Teamwork

Numerical ability

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Excel

Claude Code

Job description

General Index Limited in Houston, TX is seeking a Data Analyst to develop expertise in commodity trading and price assessment, supporting our mission to deliver trusted benchmark data to industry leaders.

You'll work with the product and markets teams to build assessment algorithms, transform trade and pricing data with Python and SQL, ensure data quality, and help scale tools as GX grows.