General Index

About the Company

We deliver 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 5,200+ 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. 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.

Listed Jobs

Company Name

General Index

Job Title

Data Analyst

Job Description

Job title: Data Analyst Role Summary: Provide analytical support for commodity price assessment by transforming, validating, and integrating trade and market data. Drive the development of tools and scripts that support daily benchmark creation and ensure data integrity across pricing workflows. Expectations: - Acquire foundational knowledge of commodity trading and price assessment processes. - Maintain high standards of data quality and reliability for pricing decisions. - Collaborate with cross‑functional teams (data, pricing, systems) to capture requirements and implement solutions. Key Responsibilities: - Clean, normalize, and transform trade and pricing data for benchmark calculations. - Build and maintain Python scripts to validate, process, and transform market data. - Configure data pipelines in core systems to deliver daily market assessments. - Support daily pricing activities, ensuring accurate and timely data delivery. - Develop tools and processes that scale with growing data volumes. - Capture business and technical requirements from the Pricing team and implement new data features. Required Skills: - Programming in Python (data wrangling, automation). - Advanced proficiency in Excel (formulas, data manipulation). - Strong numerical aptitude and meticulous attention to detail. - Experience with data cleaning, transformation, and validation workflows. - Ability to work collaboratively in distributed, cross‑functional teams. - Effective communication for capturing and translating requirements. Required Education & Certifications: - Bachelor’s degree in a quantitative or data‑centric field (e.g., economics, finance, statistics, computer science) from a reputable university.

London, United kingdom

On site

18-11-2025