Clinical Informatics Data Analyst

NHS Greater Glasgow and Clyde is one of the largest healthcare systems in the UK employing around 40,000 staff in a wide range of clinical and non-clinical professions and job roles. We deliver acute hospital, primary, community and mental health care services to a population of over 1.15 million and a wider population of 2.2 million when our regional and national services are included.

Clinical Informatics Data Analyst

Band 5

Base: Dykebar Hospital/ Glasgow Royal Infirmary (to be negotiated)

If you thrive on analysing data, and believe in the power of data to help drive improvement, the Clinical Informatics Data Analyst role could be for you.

This post provides an exciting opportunity to make a contribution to improving the quality of care in NHS Greater Glasgow and Clyde, through development of data visualisations, interactive dashboards, and staff engagement programmes, all designed to ensure data is engaging and meaningful.

You will work within the Clinical Governance Support Unit (CGSU), which supports NHSGGC in providing high quality, safe, effective and person-centred healthcare. The clinical informatics work plan is focused on evaluating existing clinical quality information systems; and supporting the design of new systems, to progress our use of healthcare analytics and quality indicators to aid improvement.

You will play a key role in this work by structuring, retrieving and presenting clinical quality information; and helping clinicians to interact with and understand the data and information presented. A main area of focus currently is on data visualisation and in developing data dashboards, so skills and experience in this area would be advantageous, as would a background in statistics or in managing and analysing data. To excel as a team member, you should bring the following to this role:

• A professional qualification and/or educated to degree level, or able to demonstrate equivalent experience.
• Experience of all aspects of project planning, and an ability to prioritise and manage workload
• Skilled in managing and analysing data, with experience in developing data sets and information flows, and in data handling and analysis – with data dashboards being a key area of focus
• Experience of producing reports, including written, numerical and graphical information
• Experience of working in and with teams.
• Problem solving skills, and an ability to “think outside the box”
• High level of communication skills, including oral skills, written skills and interpersonal skills.
• Good organisational and time management skills, with an ability to work autonomously and use own initiative
• Highly literate in PC use, with excellent working knowledge and understanding of the Microsoft office package particularly Excel. Knowledge and experience of software such as R Studio and Power BI would be beneficial.

Experience of working in the NHS, and knowledge of the NHS’s clinical quality information systems would be advantageous.

This is a permanent, fulltime position of 37 hours with a shift pattern of Monday to Friday.

For further information please contact Shaun Millar, Clinical Informatics Coordinator by email at Shaun.Millar@ggc.scot.nhs.uk.

Details on how to contact the Recruitment Service can be found within the Candidate Information Packs. 

NHS Greater Glasgow and Clyde- NHS Scotland encourages applications from all sections of the community. We promote a culture of inclusion across the organisation and are proud of the diverse workforce we have. 

By signing the Armed Forces Covenant, NHSGGC has pledged its commitment to being a Forces Friendly Employer. We support applications from across the Armed Forces Community, recognising military skills, experience and qualifications during the recruitment and selection process. 

Candidates should provide original and authentic responses to all questions within the application form. The use of artificial intelligence (AI), automated tools, or other third-party assistance to generate, draft, or significantly modify responses is strongly discouraged. By submitting your application, you confirm that all answers are your own work, reflect your personal knowledge, skills and experience, and have not been solely produced or altered by AI or similar technologies. Failure to comply with this requirement may result in your application being withdrawn from the application process.

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