Archival Data Analyst

Be part of our transformation.

Archives matter. Without records, we could not hold government to account, carry out pioneering research or learn from the past. The National Archives is the archive of UK Government and the courts. Our business strategy, Archives for Everyone, describes our vision to become an inclusive, entrepreneurial, and disruptive archive that harnesses emerging technology to reaffirm and transform our historic mission for the digital age.

The Cataloguing, Taxonomy and Data department’s role is to deliver the control, quality, currency and ongoing development of our catalogue records and the systems in which they reside. We specialise in manipulating and enhancing at scale the metadata which lies at the heart of activities across the organisation.

You’ll validate, transform and process complex textual data, working across SQL, JSON, and XML-based structures to ensure that the UK’s digital history remains structured, searchable, and usable.

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 for a minimum of 60% of their work time.

This is a Fixed Term Appointment for 22 months.

How to apply:

If you are an internal applicant: please do not use the link on this page. Please apply via your employee Workday account.

If you are an external applicant: to submit your application please click the link following 'Museum Website' below.

You will be asked to provide details of your work experience and write a personal statement, not exceeding 1200 words. In your personal statement please explain, using examples, how you meet the essential criteria given 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.

We understand that you might use artificial intelligence (AI) and other resources to assist with your application; however, please ensure all information you provide is factually accurate, truthful, and original and doesn’t include ideas or work that isn’t your own. We encourage you to showcase your unique knowledge and skills using your own voice.

SC-level Security Clearance or willingness to obtain SC clearance is mandatory for this role and requires that you have lived in the UK for the last 3 years. The length of required residency may depend on individual circumstances.


Essential:

- Data technologies: Excellent skills in pattern analysis with a broad knowledge and experience of relevant technologies for encoding, cleansing, manipulating and analysing complex structured and unstructured data. For example, data encoded in XML, CSV, JSON; programmatic techniques in Python, Shell scripting, XSLT, SQL.

- ETL Processes: Knowledge of how to extract data from various sources, including databases, APIs, and flat files. Demonstrable ability to clean, format, and transform data to meet the requirements of the target system. Skills in loading transformed data into target destinations or data models and vocabularies. Familiarity with relevant tools (for example, Talend, Informatica, Stitch, Pentaho) or willingness to learn.

- Data Governance: Understanding of data governance practices, including data quality; reference and master data; data interoperability. An appreciation of how data governance works with other governance structures within the organisation.

- Problem-Solving: Ability to identify and resolve issues that arise during the ETL and data migration processes. Experience in debugging and optimising ETL workflows for better performance, demonstrating a proactive and solutions focused approach to problems.

- Communication and relationships: 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 non-technical colleagues and to explain technical concepts clearly to non-technical staff.

- Approach to work: Highly motivated to work independently and as a project team member. Ability to prioritise tasks and deliver high quality work to agreed deadlines. A commitment to developing new skills and sharing your expertise with others.

Desirable:

- Good understanding of the value of records and archives

- A strong focus on meeting user needs

- Experience or awareness of Agile methodologies

- Experience of working with data standards relevant to digital archiving and archival description.

Museum Website: https://nationalarchives.wd3.myworkdayjobs.com/Careers/job/Kew/Archival-Data-Analyst_JR200557