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GSS > Vacancies > Senior Quantitative Analyst

Senior Quantitative Analyst

Role type
Closing date
3 Nov 2019
£39,790 to £44,009
Open to
Office of the Children’s Commissioner for England

The Children’s Commissioner for England promotes and protects the rights of children, especially the most vulnerable. This includes special responsibilities for the rights of children who are in or leaving care, living away from home or receiving social care services.

Independent of Government and Parliament, the Children’s Commissioner has unique powers to help bring about long-term change and improvements for children. She does this by first gathering evidence: talking to children and young people, requesting information from public institutions and then carrying out research and compiling information on the wide range of things that affect children’s lives. She is the ‘eyes and ears’ of children in the system and the country as a whole and is expected to carry out her duties ‘without fear or favour’ of Government, children’s agencies, and the voluntary and private sectors.

The Commissioner’s priorities for this year are set out in her 2019/20 Business Plan. The Children’s Commissioner’s Office (CCO) includes analysts, researchers and advisors who support and deliver the work outlined in Commissioner’s business plan.

An exciting opportunity has arisen to join the CCO’s Evidence Team. We are seeking an ambitious, passionate and talented individual who can take ownership of data and analysis in ways that deliver real change for children.

This role is critical to ensuring that we can shed new light on issues for the wellbeing and welfare of children, and drive change to improve the lives of children – especially the most vulnerable. You will use your analytical skills and expertise to lead projects involving advanced data analysis and careful reporting of data, and will also support the use of high-quality statistical and quantitative analysis across the organisation.

The successful candidate will possess at least a bachelor’s degree in a quantitative social science (with a significant statistical component), be skilled at R, and feel at ease managing large datasets, statistical/econometric models and large projects within a multi-disciplinary environment.

While this is a permanent post, we would also consider applications from candidates seeking a secondment, subject to approval from the candidate’s host organisation. We would welcome applications from the civil service or from outside the civil service.

Please visit the website for details about how to apply.