Data Analyst, London, United Kingdom

General Index Limited
City of London
4 months ago
Applications closed

Related Jobs

View all jobs

Remote Google Analytics Data Analyst (2-3 Month Contract)

Senior Data Analyst- Data Extraction

Junior Data Analyst - Ipsos Karian & Box

Senior Data Engineer - 12 Month FTC

Lead Data Analyst - Commercial Finance

Data Analyst

The Data Analyst will report to the Data Director in London and collaborate with global data and pricing teams to develop new assessment algorithms and support existing processes.

General Index (GX) is a leading provider of data-driven commodity benchmarks. We assess ~5,000 daily prices across the global energy markets - spanning traditional commodities like crude oil and refined products, as well as energy transition markets such as biofuels, hydrogen, and carbon.

Our unique approach collates thousands of trades from 225+ data partners and applies expert-designed algorithms based on detailed methodologies to calculate prices. GX benchmarks are robust, consistent and compliant with IOSCO and FCA requirements. Clients rely on our data for critical trading and investment decisions.

Backed at Series A by Chalfen Ventures and 20VC (Harry Stebbings), GX has an experienced team with proven leadership – as well as a rapidly growing customer and partner base – including ExxonMobil, Bloomberg, Shell, Mattel, TotalEnergies, Snowflake, BP, BeZero and ICE.

With offices in London, Krakow, Houston and Singapore, GX continues to build our team and we have an opportunity for a Data Analyst to join our London office.

About the role:

  • Learn the fundamentals of commodity trading and price assessment.
  • Collaborate with data and pricing teams to develop and implement benchmark methodologies.
  • Integrate and interpret new market data sets.
  • Build tools and processes that scale with our business.
  • Support daily price assessments and ensure data integrity.
  • Clean, normalize, and transform trade and pricing data.
  • Work with the Pricing team to capture requirements and implement new data features.
  • Configure data pipelines in our core systems to deliver market assessments.
  • Develop Python scripts to validate, process and transform market data.
  • Support daily market assessment processes alongside the Pricing team.

You offer:

  • Bachelor’s degree in a relevant field from a leading university.
  • Strong numerical skills and attention to detail.
  • Experience programming in Python.
  • Proficiency in Excel.
  • Ability to work collaboratively in cross-functional and remote teams.
  • Skill in capturing and implementing business and technical requirements.
  • Interest in oil and energy markets.

We offer:

  • London office based.
  • Employee medical coverage.
  • Competitive compensation package with share options.
  • 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.

A diversity of identity, perspective, and experience makes us stronger. We welcome you to apply to GX regardless of your background, age, gender, ethnicity, orientation, or ability.

Don't meet all the requirements? At GX we believe that professional development happens through teaching and learning from your peers and managers. Even if you’re uncertain about whether you have the experience we’re looking for, please apply if this position sparks your curiosity and you have a real interest or passion in what we are doing.

44A Floral Street, London, United Kingdom, WC2E 9DA

General Index Limited (Company number 12335370) and GX Benchmarks Limited (Company number 12625499; FCA Registration number 933348), a wholly-owned subsidiary, are incorporated in England and Wales and registered at 30 Orange Street, London, United Kingdom, WC2H 7HF


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.