Project Description
The Centre for Workforce Intelligence (CfWI) has a vacancy for a Data Analyst. This London-based role would suit a recent graduate with strong quantitative analysis skills. Applications close Friday 31 July 2015.
This a great opportunity for any candidate who is truly dedicated to progressing their career as a data analyst and applying their skills to the health and social care sector.
As a member of CfWI’s award-winning analytical and modelling team you will collect and analyse data, develop tools and help to build data-driven models to inform Government decisions. The analysis, models and tools you produce will influence national policy and help inform workforce planning.
The CfWI works across all areas of health and social care in England, so you may work to forecast how many surgeons or social workers England requires, or be planning integrated care pathways. You may also work on consultancy projects for other organisations and sectors.
You will work with many external stakeholders to gather evidence and to ensure our work makes an impact and improves people’s lives. You will also represent CfWI at meetings and forums.
Salary: £27,000 to £35,000 depending on the background and experience of the chosen candidate.
About You
The ideal candidate will have excellent analytical skills, a background in operational research or data analytics and a willingness to work on a range of challenges in health and social care.
You will draw on experience in a using variety of data processing platforms to gain information and intelligence from raw data.
You will be an excellent communicator, with the ability to inform colleagues and senior stakeholders of the purpose of our models and the outcomes as a result of their use. You will have the ability to engage stakeholders to supply data and assumptions for use in our models.
You may not have worked with system dynamics before, but you will be experienced in computer programming and be keen to learn rapidly. Or, you may be a data modelling expert who is interested in the challenge of modelling workforce systems to create tools that will form a key part of future planning of the UK health system.