Agricultural Analyst (Costs and Margins), Food & Agricultural Commodities

Grade Level (for internal use): 09

The role: The Agricultural Analyst (Costs and Margins) will join the team that produces Food and Agricultural Commodities’ analysis of global costs and margins. They will be developing models for agricultural systems economics, monitoring market conditions and provide analysis of supply, demand, and price expectations to a wide field of clients across the agriculture supply chain to produce and publish quality analysis and assist senior staff in their own analysis.

Responsibilities:

• Contribute to the developing and maintaining models to forecast costs and margins across global agriculture, including in-depth data analysis of agricultural production inputs across labour rates, machinery, chemicals, fertilizers, seeds and others.

• Development of alternative scenarios using the model, for corporate and financial sector customers.

• Convey the results of their research through a variety of outlets including internal meetings, written reports for clients, the S&P Global Commodity Insights Connect platform, formal presentations, and informal interactions with clients via conference calls and emails. The position also involves working cooperatively with other areas of the Agribusiness Intelligence business, contributing expertise to consulting projects and other activities as needed.

• Take part in interaction with global customers across a range of personas, including crop science companies, fertilizer producers, agricultural producers etc.

• Manage large-scale data collection and preparation of costing inventories to ensure efficiency, accuracy and relevance.

Your Qualifications and skills:

• A BS Economics or Agricultural Economics - an advanced degree is beneficial, with prior experience in monitoring and forecasting agriculture commodities.

• A high degree of analytic ability with an ability to communicate the results in reports.

• Proficient in data analysis with extensive experience in cleaning, harmonizing, joining, and structuring large datasets to ensure data integrity and usability for analytical purposes.

• Knowledge of R, Python or other econometric/statistic software.

• Experience conducting economic or commodity market research.

• 1-2 years of experience as a minimum.

• Strong inter-personal and communication skills, and the ability to develop trust and respect from both colleagues as well as clients.

• Superior written and oral communications.

• Outstanding written communication skills and attention to detail.

• Excellent MS Excel, Access, Word, PowerPoint and Power BI skills.

Your Soft Skills:

• A passion for learning and intellectual curiosity.

• An interest in commodity markets and how they operate.

• High energy, willing and able to deal with client requests as they arise, and to travel as the job requires.

• Self-motivated and ambitious, with good problem-solving skills.

• The ability to work independently and in an organized manner.

About S&P Global Commodity Insights:
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.

We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.

S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.