Research Analyst

• Assist in the collection, organisation, and maintenance of data covering agri-commodity supply, demand, trade, prices, and policy developments across major producing and consuming countries
• Support the development of analytical models and forecasts, working alongside Senior Analysts to update key datasets and validate assumptions
• Contribute to the preparation of weekly, monthly, and quarterly publications, ensuring data accuracy and consistency across all outputs
• Conduct desk research and quantitative analysis to support market reports, client presentations, and consulting projects
• Monitor relevant news, policy changes, and industry developments, helping the team identify emerging trends and risks
• Liaise with industry participants — including traders, producers, and government agencies — to gather information and validate market intelligence
• Support the delivery of bespoke client projects and data requests under the guidance of senior analysts and the Agribusiness Consultancy Director
• Collaborate with other agribusiness teams (biofuels, oleochemicals, sugar, vegetable oils, coffee, cocoa etc.) to share data and ensure alignment across commodities
• Occasionally attend client meetings, industry events, or research trips, representing GlobalData in a professional and informed manner

• Degree (Bachelor’s or Master’s) in Economics, Agricultural Economics, or a related numerate discipline
• Strong analytical and quantitative skills, with attention to detail and accuracy
• Highly proficient in Microsoft Excel
• familiarity with data analysis or visualisation tools (e.g. Power BI, R, Python) is an advantage
• Excellent written and verbal communication skills with the ability to present data clearly
• An interest in commodity markets, agriculture, and global trade
• Highly organised, able to manage multiple projects and meet deadlines in a fast-paced environment
• A collaborative mindset and willingness to learn from senior analysts

familiarity with data analysis or visualisation tools (e.g. Power BI, R, Python)

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