26 March 2022

Richmond upon Thames, London




We are transforming our digital services at The National Archives.

As part of the Digital Services department you will work with all the available digital data and, using your analytical skills, come up with clear, actionable insights that will help develop our business goals. You’ll be confident at talking through what you have found, helping others understand what the next steps are.

You will support product teams, especially the user researchers to combine the ‘what’ and ‘why’ of user behaviour as well as the product and service managers, to identify ‘what good looks like’ and to develop hypotheses.

You’ll be a clear and confident communicator who can share information with colleagues across the organisation, you’ll also train others and enable them to be confident in gathering their own metrics.

As well as excellent analytical and problem solving skills, we’re looking for someone who can bring new ideas to our analytical outputs to bring the data to life, it would be a bonus if you have experience of data visualisation tools, Python or R.

This is a full time post. However, requests for part-time working, flexible working and job share will be considered, taking into account at all times the operational needs of the Department.

A combination of onsite and home working is available and applicants should be able to regularly travel to our Kew site.

We are an equal opportunities employer welcoming applications from all sections of the community and from people of diverse ages, experience and backgrounds, including people with disabilities. We are keen to explore the widest possible pool of talent for all our roles.



To submit your application please click the 'Apply now' button on this page. You will be asked to write a personal statement and upload your CV. In your personal statement please explain, using examples, how you meet the essential criteria below. You may draw on knowledge, skills, abilities, experience gained from paid work, domestic responsibilities, education, leisure interests and voluntary activities. Please note selection for interview will largely be based on the information you provide in this section so please make full use of the 1250 word count.

Essential criteria:

1. Extensive experience of web analytics

2. Excellent analytical, problem-solving and organisational skills coupled with the ability to work to a high degree of accuracy demonstrating a proactive and solutions focused approach to problems

3. Experience of discovering and sharing analytical insight with stakeholders, at all levels of seniority, who have various levels of analytical expertise

4. Practical experience in conversion rate optimisation and of measuring outcomes in transactional environments, publishing performance and user experience

5. Experience of working with developers to build analytical solutions in line with technical requirements

6. Strong proficiency with spreadsheets and data manipulation

7. Experience of working in an agile multi-disciplined team focussed on delivering user needs


Scroll to top