Our advice is built on excellence in primary and secondary research, statistical analysis, data science and economic modelling. Compiling, handling, and analysing complex datasets are key tasks in our everyday work.
Typically, you will be working to support the delivery of analytical projects such as market studies, business cases, evaluations, and horizon scanning studies. Work topics are wide ranging, with recent projects including examinations of emerging satellite technology markets, reviews of the effectiveness of public space programmes, exploration of the potential for Artificial Intelligence applications in space, industry surveys, and helping innovative companies find venture capital funding.
As the space sector is continuously evolving, we also often need to develop novel and innovative methodological solutions for our clients, which requires creative thinking as well as having a strong grasp of analytical fundamentals.
You need to have (essential):
- An undergraduate (2:1 minimum) or postgraduate degree in economics or another analytical subject such as data science, social research, finance or statistics (please note that pure engineering backgrounds are unlikely to be the right match for this role)
- An analytical mindset and good quantitative skills (e.g. data management, data analysis, modelling)
- Good qualitative skills, and the ability to synthesise and gain insight from ‘softer’ analytical data and evidence
- Interest in satellite technologies and the space industry
- The creative, solution-orientated ability to work with imperfect and incomplete data
- A strong work ethic, motivation, and organisational skills
- Excellent written and oral communication skills in English
- A high proficiency with Microsoft programmes, particularly Excel, Word and PowerPoint
- The right to live and work in the UK
You may also have (desirable):
- Experience of working as a professional analyst in industry or government
- Experience of working within the space industry
- Additional relevant professional experience
- Demonstrated interest in wider science and innovation matters
- Proficiency with programming languages, such as R and Python
- Fluency in European or other languages