1 December 2019

Kew, London

£40,000 + excellent benefits


About the role

The National Archives is looking for a Data Analyst with in-depth experience in design and data architecture, creating conceptual models and transforming them to logical models and physical schemas and in defining mappings / transformations between data models.

You will work in an open, transparent and collaborative environment, engaging with internal and external communities to share your work and learn new from others, maintaining your understanding of developing technologies that can be applied to archival content enhancement and to enable the re-use of public data.

About you

As Data Analyst, you will have a strong background in organising, managing, enriching and manipulating data, including structured and text-based information. You will have excellent experience of the relevant database technologies and programming languages and be highly skilled in structuring, converting, analysing and exploring data to reveal underlying patterns and stories. You will have the ability to think rigorously about the complex issues involved in data collection and manipulation and will enjoy working with records specialists to support access to the digital archive.

You will remain calm whilst working under pressure, dealing with a wide variety of tasks and will have experience in problem solving using data design. You will see opportunities for improvements and be able to communicate with both technical and non-technical audiences through appropriate medium.

This is an opportunity to work with committed and talented developers, designers, archivists and researchers who share a passion for creating high quality, user-focused digital services for a range of audiences.

4 criteria will be assessed on application:

  • Extensive experience of large scale data analysis and manipulation using different programming techniques (for example, Python, Shell scripting, XSLT, SQL) for structured and text based data analysis and manipulation.
  • Excellent knowledge and experience of working with data encoded in different formats (for example, XML, CSV, JSON, RDF).
  • Practical experience and knowledge of a range of database technologies (for example: no-SQL, RDBMS, triple stores / linked data, graph databases).
  • Awareness of the issues with manipulating complex structured and unstructured data, with excellent skills in pattern analysis and strong accuracy and attention to detail.

In addition the following criteria will be assessed at interview:

  • 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.
  • Strong communication and relationship building skills, suitable for working with multidisciplinary stakeholders at all levels; able to lead and facilitate work to gather user requirements from the business and to explain technical concepts clearly to non-technical staff.
  • Highly motivated to work independently and as a project team member. Ability to prioritise tasks and deliver products to deadlines.


Scroll to top