Gas and LNG Data Analyst; FTC

About Petroineos

Petroineos Trading Limited (PITL) is a joint venture between Petro China International London (PCIL) – the international trading arm of Petro China – and INEOS, a leading petrochemical, chemical and energy company. Established in 2011, PITL combines the global trading and supply capabilities of Petro China with INEOS’s refining, manufacturing and energy expertise to create an integrated energy trading and refining business with a strong presence across European and international markets.

Petro China International, part of Petro China Company Limited – a subsidiary of China National Petroleum Corporation (CNPC) – operates across major trading hubs, including London, Singapore and Houston, supporting international trading, logistics, storage and energy supply operations.

Petroineos operates in global crude oil, refined products, natural gas, LNG, power and environmental markets, supported by extensive infrastructure, commercial partnerships and trading capabilities.

London, UK (Charing Cross office – hybrid 4 days in office / 1 day from home)

Gas and LNG Data Analyst – full‑time, 12‑month fixed‑term contract. The role is based in the London office and reports to the Head of Data Analysis. It involves working with a wide range of data sources, transforming complex datasets into meaningful market intelligence, and developing data and analytical models to support front‑office trading activities.

• Develop and maintain automated data collection processes using APIs, web‑scraping tools and external market data sources.
• Source, validate and monitor datasets to ensure high levels of accuracy, quality and reliability.
• Clean, transform and model data using Python, Pandas and SQL.
• Support European Gas and LNG analysis through datasets covering flows, storage, supply and demand fundamentals, and cargo tracking.
• Analyse data to identify trends, anomalies and market insights that support business decision‑making.
• Build dashboards, visualisations and analytical tools for traders and analysts.
• Collaborate with Data Scientists to develop and enhance analytical, AI and machine learning solutions.
• Utilise modern AI‑assisted development tools to improve efficiency, automation and delivery.
• Maintain high standards of data governance, security and documentation.
• Take ownership of projects from requirements gathering through to deployment and ongoing support.

• Previous experience within data analytics, data engineering or a related analytical role.
• Strong Python programming skills, including Pandas.
• Experience using SQL to transform, analyse and manage datasets.
• Familiarity with APIs, web‑scraping or automated data collection techniques.
• Experience building dashboards, visualisations or analytical tools for end users.
• Good understanding of version control tools such as Git.
• Experience working with structured, semi‑structured and unstructured data.
• Strong analytical, problem‑solving and communication skills.
• High attention to detail and commitment to data quality.
• Collaborative mindset with the ability to engage effectively with both technical and non‑technical stakeholders.
• Interest in energy markets, commodities, Gas or LNG is advantageous.

• Experience developing analytical or forecasting models.
• Exposure to AI, machine learning or AI‑assisted development tools.
• Experience working with market data providers, vendor APIs or cloud‑based data platforms.
• Knowledge of Gas, LNG, Power or other commodity markets.

• Competitive salary commensurate with experience.
• Comprehensive benefits package including: insurance coverage (self & family), private medical, travel, dental, life assurance, gym membership, pension contributory, discretionary performance‑related bonus.
• Up to 25 days holiday allowance per annum (rising after service), in addition to bank holidays.