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Commodity Supply & Demand Data Analyst

Job in City, Vale of Glamorgan, EC1A2, Wales, UK
Listing for: Judith & Co Recruitment
Full Time position
Listed on 2026-06-24
Job specializations:
  • Business
    Business Development, Business Analyst, Data Analyst
Job Description & How to Apply Below
Location: City

On behalf of our client, a Global Commodity Trading company , we are currently looking for a Commodities Data Analyst to focus on Supply and Demand analysis and reporting.

The individual will coordinate external sources of market relevant data & information and combine with data flowing to the research desk from global origination teams & merchandising centres. The successful candidate will be responsible for enhancing and fully utilising the advantageous data held across the wider group. The individual will deal with a diverse range of stakeholders & customers across the business, for which research is a key part of their business.

Key Responsibilities:

  • Manage a large and complex database of Soft commodity statistics ensuring that production data is up to date and accurate. With focus on exports, imports, trade flows, stocks, local prices/differentials and consumption trends.
  • Regular reporting for internal and external use, such as; weekly reports, meeting summaries and monthly updates.
  • Host and minute regular internal meetings, ensuring agenda is always relevant to driving forces within the market.
  • Prepare presentations for customers across the different profit centres aimed at supporting the trade and sales teams
  • Engage fully with an internal network of agronomists and local origin specialists to help inform your centralised research.
  • Analyse the markets and keep traders updated with important insights.

Skills & Experience:

  • 2 to 7 years experience within soft commodities covering Supply and Demand Data
  • The ability to pragmatically evaluate markets and data in clearly communicate an innovative view of the markets
  • A relevant degree in agriculture, or similar background.
  • A good understanding of physical and futures markets.
  • Excellent Excel skills are essential
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