At a Glance
- Tasks: Help shape a $53M education fund's annual Impact Showcase through data mapping and narrative drafting.
- Company: Join a small, impactful organisation focused on education and social investment.
- Benefits: Gain professional experience with tangible outputs and enhance your analytical skills.
- Other info: Remote role with flexible hours and significant career development opportunities.
- Why this job: Make a real difference in education impact while building your portfolio.
- Qualifications: Strong analytical mindset, data handling skills, and clear writing ability required.
Help a $53M education impact fund prepare its annual Impact Showcase. You'll map data from 8 global NGO partners against the IRIS+ framework, research benchmarks, and draft narratives. A bounded 6‐week remote role with a tangible professionally published output you can be proud of.
Greater Share's Impact Showcase is the primary document through which we communicate the collective impact of its eight NGO partners to its investors, board, and the wider education and impact investing community. Many of the Fund's stakeholders come from a private equity background, so rigorous, well‐contextualised data presented in a professional format is essential to maintaining their confidence and engagement.
The Executive Director's bandwidth is the binding constraint on the quality and depth of the Showcase. Without your contribution, the report risks being thinner on evidence, weaker on benchmarking, all of which matter for credibility with sophisticated investors. Your work will directly shape the published report. The data you map, the benchmarks you research, and the narrative drafts you prepare will flow through to the final product that reaches the Fund's investors and partners. This is not background research that sits in a drawer — it is the substance of a document that represents the Fund externally.
Beyond the Showcase itself, the IRIS+ mapping work has strategic significance. The GIIN currently publishes impact performance benchmarks for five sectors but not for education. Greater Share is interested in exploring the opportunity to contribute anonymised data toward a future education benchmark. Your analytical work on the mapping will directly inform a potentially sector‐wide conversation.
What are we looking for?
We are looking for someone with a strong analytical mindset who enjoys working with data and translating it into clear, compelling narratives. The most important quality is the ability to work independently to deadlines. This is a small organisation, so the volunteer needs to be comfortable picking up a well‐defined brief and running with it, asking questions when needed but not requiring day‐to‐day supervision.
In Terms Of Skills, The Essentials Are:
- Confidence working with spreadsheets and structured data, ideally in Excel;
- Familiarity with and ideally access to a paid, confidential AI such as Claude Opus 4.6 or equivalent;
- The ability to write clearly in professional English;
- Enough intellectual curiosity to get to grips with an impact measurement framework quickly.
Experience in any of the following areas would be a strong advantage:
- Impact measurement or evaluation (particularly the IRIS+ system managed by the GIIN);
- International development or education research;
- Social investment, impact investing, or philanthropy;
- Synthesising qualitative and quantitative evidence into concise written outputs.
A background in consulting, research, policy analysis, or similar analytical roles would translate well. The volunteer does not need to be a subject‐matter expert in education. What matters is analytical rigour, clear writing, and the ability to handle data with detail and care.
Impact Data Analyst for Education Fund - Volunteer in London employer: Greater Share
Greater Share is an exceptional employer for those looking to make a meaningful impact in the education sector. As a volunteer Impact Data Analyst, you will not only contribute to a significant $53M education fund but also gain invaluable experience working with global NGO partners and high-level stakeholders. Our collaborative work culture fosters independence and encourages professional growth, allowing you to develop your analytical skills while producing a tangible, published output that showcases your contributions to the wider impact investing community.
StudySmarter Expert Advice🤫
We think this is how you could land Impact Data Analyst for Education Fund - Volunteer in London
✨Get Involved in Open-Source Projects
Dive into some open-source data science projects on platforms like GitHub. Contributing your skills to real-world problems not only hones your abilities but also puts your name out there in the community, making it easier to land volunteer roles with organisations that value your experience.
✨Join Local Data Science Meetups
Check out local data science meetups and events in your area. Networking face-to-face not only helps us pin down opportunities but also lets you connect with fellow data enthusiasts and professionals who might know of volunteering positions at places like Greater Share or elsewhere!
✨Utilise University Resources
If you’re associated with a university, tap into your career services for volunteer opportunities. They often have connections with local businesses and research projects that are looking for volunteers; even a few hours a week can make a difference on your CV!
✨Showcase Your Data Projects
Build a portfolio featuring your completed data projects, even if they’re from coursework or personal initiatives. Share this portfolio on platforms like LinkedIn or personal blogs to highlight your skills, which can grab the attention of potential volunteer roles at Greater Share and beyond.
We think you need these skills to ace Impact Data Analyst for Education Fund - Volunteer in London
Some tips for your application 🫡
Show Off Your Data Skills:Since you're aiming for a data-science role as a volunteer, make sure your CV highlights any relevant skills like programming languages (Python, R), statistical analysis, or machine learning. If you’ve worked on any data projects, include detailed descriptions to showcase your experience – even if they were for school or personal projects!
Include Relevant Coursework and Certificates:If you’ve taken any courses related to data science or have any certifications, don’t forget to include these in your application! Courses from platforms like Coursera or edX can really boost your credibility, especially if they include hands-on data analysis or machine learning components.
Share Your Passion for Data:In your cover letter, let us know why you’re excited about volunteering in a data-science role. Share your passion for data analysis and how this opportunity aligns with your career aspirations. We're looking for enthusiasm as well as skills!
Keep Your Application Concise and Focused:Volunteer roles can attract many applicants, so make your application concise and relevant. Tailor your CV and cover letter specifically to this role at Greater Share. Focus on your most relevant experiences and how you can contribute to the team without going overboard on length!
How to prepare for a job interview at Greater Share
✨Show Off Your Data Skills
For a data science role, it’s essential to demonstrate your analytical skills. Brush up on core concepts like regression, classification, and clustering algorithms. Be ready to discuss your experience with tools like Python, R, or SQL – maybe even walk us through a mini-project or analysis you've done, showcasing your problem-solving prowess.
✨Brush Up on Data Visualisation
Data science isn't just about crunching numbers; communication is key! Make sure you can explain your findings clearly through data visualisations. Having a portfolio of your visualisations ready will impress the interviewers at Greater Share. Bring along some examples that illustrate not just your technical skills but also your storytelling ability with data.
✨Highlight Your Enthusiasm for Learning
As a volunteer, your willingness to learn and adapt is crucial. Emphasise your passion for data science and any self-directed projects you've undertaken, like participating in competitions on platforms such as Kaggle. This shows that you’re keen to grow in the field and contribute to Greater Share while gaining valuable experience.
✨Be Ready for Hands-On Challenges
Often, interviews in data science can involve live coding or analytical challenges. Don’t be surprised if you're asked to solve a problem on the spot! Practise with sample problems or challenges beforehand so you can keep your cool and demonstrate your thought process clearly—this can really set you apart from other candidates!
