At a Glance
- Tasks: Join our team to analyse global agricultural costs and margins, developing models and providing insights.
- Company: S&P Global Commodity Insights connects market leaders to drive sustainable value in energy and commodities.
- Benefits: Enjoy flexible downtime, health coverage, continuous learning resources, and family-friendly perks.
- Why this job: Make an impact on global agriculture while working with diverse clients and innovative data analysis.
- Qualifications: BS in Economics or Agricultural Economics; 1-2 years experience in commodity market research required.
- Other info: We're committed to inclusivity and offer a supportive environment for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
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 providing 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 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.
- Work cooperatively with other areas of the Agribusiness Intelligence business, contributing expertise to consulting projects and other activities as needed.
- Interact 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 in 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.
Benefits:
- Health care coverage designed for the mind and body.
- Generous time off helps keep you energized for your time on.
- Access a wealth of resources to grow your career and learn valuable new skills.
- Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- From retail discounts to referral incentive awards—small perks can make a big difference.
Inclusive Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
Agricultural Analyst (Costs and Margins), Food & Agricultural Commodities employer: S&P Global, Inc.
Contact Detail:
S&P Global, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agricultural Analyst (Costs and Margins), Food & Agricultural Commodities
✨Tip Number 1
Familiarise yourself with the latest trends in agricultural economics and commodity markets. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field, which is crucial for a role like Agricultural Analyst.
✨Tip Number 2
Network with professionals in the agriculture and commodities sector. Attend industry conferences or webinars to connect with potential colleagues and clients. Building these relationships can provide valuable insights and may even lead to job referrals.
✨Tip Number 3
Enhance your data analysis skills by working on relevant projects or using online platforms to practice with R or Python. Being proficient in these tools is essential for the role, and showcasing your skills through practical examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experience in monitoring and forecasting agricultural commodities. Be ready to share specific examples of how you've used data analysis to inform decisions, as this will highlight your analytical abilities and relevance to the role.
We think you need these skills to ace Agricultural Analyst (Costs and Margins), Food & Agricultural Commodities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in agricultural economics and data analysis. Emphasise your skills in using software like R or Python, as well as your ability to communicate complex findings clearly.
Craft a Compelling Cover Letter: In your cover letter, express your passion for agricultural markets and your analytical abilities. Mention specific experiences that demonstrate your capability in forecasting costs and margins, and how you can contribute to the team.
Showcase Your Analytical Skills: Provide examples of past projects where you conducted economic or commodity market research. Highlight your experience with large datasets and any models you've developed to forecast agricultural costs.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Ensure there are no grammatical errors and that your writing is clear and concise. Attention to detail is crucial for this role.
How to prepare for a job interview at S&P Global, Inc.
✨Showcase Your Analytical Skills
As an Agricultural Analyst, you'll need to demonstrate your strong analytical abilities. Be prepared to discuss specific examples of how you've used data analysis in previous roles, particularly in forecasting costs and margins in agriculture.
✨Familiarise Yourself with Relevant Software
Knowledge of R, Python, or other econometric/statistic software is crucial for this role. Make sure you can talk about your experience with these tools and how you've applied them in your work, especially in cleaning and structuring large datasets.
✨Communicate Clearly and Effectively
Given the importance of communication in this role, practice articulating your thoughts clearly. Prepare to explain complex concepts in simple terms, as you'll be conveying results to clients and colleagues who may not have a technical background.
✨Demonstrate Your Passion for Agriculture
Show your enthusiasm for the agricultural sector and commodity markets during the interview. Discuss any relevant experiences or projects that highlight your interest and commitment to understanding market dynamics and trends.