Senior Information & Quality Improvement Analyst – NHSGGC Specialist Children’s Services

NHS Scotland; Templeton; On-site; GBP 30,000 - 40,000; Full time

Job summary

A prominent healthcare organization in the UK is seeking a data analyst to enhance insights from electronic record systems within Specialist Children’s Services. The role encompasses data analysis, communication with stakeholders, and support for developing data systems. Candidates should possess strong analytical skills and preferably have experience in a healthcare setting. This position involves a structured shift pattern and requires applications promptly as the post may close early.

Qualifications

• Experience with data analysis is essential.
• Desirable to have experience in a healthcare setting.

Responsibilities

• Exploit data from electronic record systems for insights.
• Enhance data presentation for staff/stakeholders.
• Support development of data systems and modelling initiatives.
• Communicate data developments to team members.
• Advise on data and analytical matters.
• Lead innovative data analyses and research projects.

Skills

Strong analytical skills

Experience working in a health context

Job description

Overview

NHS Greater Glasgow and Clyde is one of the largest healthcare systems in the UK, employing around 40,000 staff across a wide range of clinical and non-clinical professions. We provide acute hospital, primary, community and mental health care services to a population of over 1.15 million, extending to 2.2 million through regional and national services. This fixed‑term position lasts 7 months and offers a structured shift pattern: Monday 9:00‑4:30 pm, Tuesday‑Friday 9:00‑5:00 pm.

Role Summary

As part of a small, friendly team, you will undertake data analysis, evaluation, research and improvement projects within Specialist Children’s Services (SCS). Your responsibilities will centre on exploiting data from SCS electronic record systems to enhance analysis, interpretation and presentation, while supporting the development of relevant data systems, datasets, and demand‑ and capacity‑modelling initiatives.

Key Responsibilities

• Exploit data across SCS electronic record systems to deliver actionable insights.
• Enhance data analysis, interpretation, and presentation for staff and stakeholders.
• Support and influence the development of data systems, datasets, and demand‑capacity modelling aligned with service needs.
• Communicate data developments and analysis to team members and broader SCS staff.
• Provide advice and guidance on data and analytical matters to internal and external customers.
• Lead innovative data analyses, audit, evaluation, and research projects as required.

Qualifications

• Strong analytical skills and experience are required.
• Experience working within a health context is desirable.

Schedule

Shift pattern: Monday 9:00‑4:30 pm, Tuesday‑Friday 9:00‑5:00 pm.

Interview

Interviews for this post will take place on 29th January 2026.

Informal Contact

Dr Rachel Harris – [e-mail], 0141 277 7475

Information for candidates

This post may close early due to the volume of responses. Please submit your application form as soon as possible. Shortlisting feedback will not be provided.

Equality and Diversity

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 celebrate our diverse workforce.

Armed Forces Covenant

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.

Application Integrity

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 may result in withdrawal from the application process.

Support

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