LW- Senior Information Analyst Hospitals, Child & Mental Health Team and Performance & Outcomes Team

NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society.

Full-time 36 Hours

A note on AI-assisted applications

AI is a useful professional tool and we expect candidates in modern data roles to use it appropriately.

What we want to hear about is you. Your own experience, your judgement, the systems you have worked with and the problems you have personally solved.

Please do not submit generic AI-generated statements, invented experience or technical claims you could not confidently explain yourself. Applications that appear generic, fabricated or cannot be substantiated will not progress.

Shortlisted candidates should expect a practical assessment and in-person interview. We are interested in how you use AI as a tool, but your application still needs to be authentically yours.

NHS Grampian is an intelligence-led organisation known for drawing on high quality analytics to inform public health, planning, performance and improvement. We are looking for experienced, enthusiastic and forward-thinking individuals to join our team.

You should have highly developed skills in: information extraction and manipulation of large datasets; application of relevant statistical approaches to complex problems; identification of data patterns; predictive modelling; information interpretation and data visualisation skills. The post offers the opportunity to work with a broad range of stakeholders such as Public Health consultants, acute sector colleagues and local authorities, along with other health boards and national health bodies.

The team has built an outstandingly positive reputation and we are much in demand, so the ability to deal with pressure is important. In return we can offer flexible and hybrid working arrangements and opportunities for development and progression. Continuous professional development and research are important to us and we provide the opportunity to develop academic links with the University of Aberdeen and the Aberdeen Centre for Health Data Science.

This post will provide intelligence for planning and performance improvement for all aspects of acute, mental health and child health care, particularly in hospital settings. This will include the completion and quality control of National routine deliverables, ad-hoc requests, collation of materials for performance reports and opportunities to develop skills including querying data via SQL and building dashboards in Tableau.

The post-holder will produce and explain intelligence relating to, hospital activity, waiting lists and other topics.

The right candidate will demonstrate technical skills in Microsoft packages, analytical and interpretation skills which will be essential to create evidence and well-developed reasoning to influence decision-making.

Enquiries to:

Adam Gatcombe

Cross Systems Specialist Analyst

Hospitals, Mental Health and Child Health

Health Intelligence adam.gatcombet

Or

Pamela Lowbridge

Senior Specialist Analyst

Performance & Outcomes Team

Health Intelligence pamela.lowbridget

Interviews will be held on 09 November 2026 at Summerfield House.

AI-generated content for the completion of Supporting Statements may lack specificity and fail to address key criteria outlined in the job description. Personalisation is essential to convey individual skills, knowledge, and experiences effectively.

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