Archival Data Analyst

The National Archives, UK; Melbourne; On-site; AUD 55,000 - 75,000; Full time

Job summary

Join The National Archives, UK as a Data Analyst, specializing in validating and processing vital data to uphold the digital history of the UK. This full-time role offers the opportunity for part-time and flexible work arrangements while requiring effective collaboration across teams. Applicants must be open to obtaining a security clearance and meet skill needs in data technologies such as Python.

Qualifications

• Entry-level position requiring knowledge of data technologies and ETL processes.
• Familiarity with XML, CSV, and JSON data formats is essential.
• Understanding data governance practices and user needs is critical.

Responsibilities

• Validate and process complex textual data across SQL, JSON, and XML.
• Implement ETL processes and maintain data quality.
• Communicate effectively with multidisciplinary stakeholders.

Skills

Python

Data Governance

Problem-Solving

Communication

Education

Bachelor's Degree in Information Technology or related field

Job description

1 week ago Be among the first 25 applicants

The National Archives, UK provided pay range

This range is provided by The National Archives, UK. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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

The Selection Process

• Phone interviews w/c 16th June
• Candidates who are successful following the phone interviews will be invited to an onsite technical test and interview on 2nd & 3rd July 2025

How To Apply:

To submit your application please click the 'Apply' button on this page. You will be asked to provide details of your work experience and write a personal statement, not exceeding 1200 words. In your 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 word limit.

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.

• Data technologies: Excellent skills in Python and experience using XSLT. Familiarity with pattern analysis and 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 and JSON.
• ETL Processes: Knowledge of how to extract data from various sources, including databases, APIs, and flat files. Demonstrable ability to clean, format, and transform textual 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 preparing and validating textual data and optimising ETL workflows for better usability, 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.
• 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.

Monday 16th June 2025 at midnight

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Analyst

• Industries

  Museums, Historical Sites, and Zoos and Government Administration

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