At a Glance
- Tasks: Drive research on global food systems and analyse ESG data for impactful insights.
- Company: Join FAIRR, a leader in sustainability research with a collaborative team spirit.
- Benefits: Gain valuable experience, develop expertise, and contribute to meaningful sustainability initiatives.
- Other info: Dynamic role with opportunities for cross-team collaboration and professional growth.
- Why this job: Make a real difference in food system sustainability while enhancing your analytical skills.
- Qualifications: Strong research skills, attention to detail, and a passion for sustainability.
The predicted salary is between 40500 - 49500 £ per year.
We are looking for a dynamic, detail-oriented team player to join FAIRR as an analyst within our Research and Data (R&D) team. In this role, you will be driving company-level research across our Protein Producer Index (PPI) and Seafood Index (SI). Our data-driven benchmarks help market participants to understand how companies are positioned to manage the risks and opportunities that lie within global food systems. In addition to owning a portfolio of companies, you will also be collaborating with FAIRR subject matter experts to develop sector and thematic research insights and feed into the product development cycle for our benchmarks.
Key Outcomes & Accountabilities
- ESG Data Analysis: Collect, analyse and score publicly available data and build a view on how companies manage material ESG risks and opportunities. Apply FAIRR's methodology with accuracy and consistency, ensuring adherence to internal quality standards.
- Identification of ESG Risks, Opportunities and Trends: Translate raw data into actionable insights at the company level, highlighting emerging risks, opportunities, trends and progress relevant to food system sustainability. Draft structured outputs in different formats: summaries, data-driven reports, and briefing notes that are robust and well-evidenced.
- Company Dialogue: Lead constructive and informative conversations with companies during the research cycle, providing clear guidance to them on process, timelines, methodology and findings to support transparency and dialogue.
- Company Monitoring: Continuously monitor your portfolio of companies outside research cycles, tracking strategic changes, new initiatives, emerging risks, and controversies.
- Stakeholder Support: Act as a key point of contact for investor members, the media and other external stakeholders seeking deeper insights into company scores and benchmark assessments.
- Expertise Development: Continually deepen your subject-matter expertise in global food systems and/or specific areas of our research methodologies.
- Continuous Improvement: Work on the frontline of our research, acting as a key source of feedback on how our methodologies, products, processes and technological systems can be evolved over time to better meet market needs.
- Cross-Team Collaboration: Work closely with colleagues across FAIRR teams on an ad hoc and project-based basis. This may include responding to research requests, supporting the preparation of investor and corporate engagement, contributing analytical input to briefings and documents, and supporting cross-functional initiatives.
Technical Expertise & Role-Specific Capability
- Passionate about Sustainability - you want to deepen your understanding of the risks and opportunities that exist within our terrestrial and marine food systems today.
- Excellent research and analytical skills - both qualitative and quantitative, with strong attention to detail.
- Ability to identify relevant trends in large data sets and derive conclusions based on the analysis.
- Fluency in spoken and written English.
- Ability to draft written materials to a professional standard with minimal review and excellent verbal communications skills.
- Strong project management skills, including an ability to manage multiple projects with competing deadlines.
- Demonstrable experience of interacting and working with senior business professionals.
Analyst - Research & Data employer: Jeremy Coller Foundation
FAIRR is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to drive meaningful change in global food systems. With a strong focus on sustainability, the company offers ample opportunities for professional growth and development, ensuring that analysts can deepen their expertise while contributing to impactful research. Located in a vibrant environment, FAIRR provides a unique chance to engage with industry leaders and stakeholders, making it an attractive place for those seeking a rewarding career in research and data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst - Research & Data
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jeremy Coller Foundation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analyst - Research & Data at Jeremy Coller Foundation.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jeremy Coller Foundation.
✨Apply Directly through Our Website
When you find a suitable opening like Analyst - Research & Data at Jeremy Coller Foundation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analyst - Research & Data
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jeremy Coller Foundation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jeremy Coller Foundation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jeremy Coller Foundation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jeremy Coller Foundation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.