Challenge Fund Data Analyst
Are you interested in exploring new ways of using open data to answer questions around grantmaking? We’re looking for an experienced Data Analyst to work on our Challenge Fund and to help take our work forward into its crucial next phase.
This is a short-term role helping to implement an exciting new project. It includes designing and implementing a data analysis strategy that will help to answer questions submitted as part of our Challenge Fund project; conducting data analysis; running data literacy workshops; and introducing new ideas for using open data to create positive social change.
This is a consultancy contract for four months, based in central London. Some UK travel is required. We can be flexible about the salary and hours required depending on availability and experience.
- Degree in data science or computer science or a minimum of 3 years’ experience of undertaking data analysis.
- Coding skills, with a preference for Python.
- Experience of delivering training and building capacity of non-experts to conduct data analysis.
- Self-starter who can undertake data analysis with minimal supervision.
- Ability to work collaboratively in small interdisciplinary teams.
- Understanding of open data and why data standards are important.
- Ability to build new networks and engage constructively with project partners and stakeholders.
- Interest in UK philanthropy and how open data can support the sector.
Download the full Job Description.
How to apply:
Interested candidates should contact our Labs and Learning Manager, Mor Rubinstein, to find out more about the role and to discuss the Challenge Fund project: firstname.lastname@example.org
Interviews will be held on a rolling basis until a consultant has been appointed, ideally by 12th March.
Eligible candidates must have the right to live and work in the UK.