Healthcare Audit Data Analyst

ROYAL COLLEGE OF PAEDIATRICS AND CHILD HEALTH
London
5 days ago
Create job alert

Healthcare Audit Data Analyst

£41,278 pa plus excellent benefits

London WC1 and home-based

35 hours per week, full-time

Fixed Term Contract to 31 March 2027 (potential extension to 31 March 2030).

The Royal College of Paediatrics and Child Health (RCPCH) is seeking a highly skilled Healthcare Audit Data Analyst to join our Research and Quality Improvement Directorate, which promotes evidence-based practice and improves health outcomes for children. This is an exciting opportunity to work on national audit programmes that shape paediatric care across the UK.

Reporting to the Project Manager (Audits), you will manage complex healthcare datasets, lead on data analysis using R/R Studio, and produce high-quality outputs for clinicians, commissioners, and policy makers. You’ll play a key role in delivering robust, reproducible analytical pipelines and ensuring data integrity and security throughout the audit lifecycle.

Key responsibilities include:

  • Managing secure handling and analysis of complex audit datasets, ensuring compliance with data governance and protection requirements.
  • Developing reproducible analytical pipelines to underpin audit outputs and support cross-audit working.
  • Analysing large datasets using R/R Studio, producing results at unit, ICB, regional and national levels, and identifying trends and outliers.
  • Maintaining robust data management processes within GitHub environments for version control and collaboration.
  • Producing reports and data outputs for diverse audiences, including clinicians, commissioners, regulators, and patient stakeholders.
  • Acting as a point of contact for technical and data-related queries from those submitting data for analysis.
  • Planning analytical processes for upcoming projects and contributing to departmental reports, including interpretation and editorial content.
  • Supporting the development and enhancement of data capture software and collaborating with internal and external stakeholders.

Essential skills and experience:

  • Undergraduate degree or equivalent experience in social or medical science, statistics, or another numerate discipline.
  • Proven experience using R/R Studio (or VS Code) for data cleaning, aggregation, recoding, merging, and advanced analysis (including regression).
  • Experience producing high-quality written reports and documentation for varied audiences.
  • Strong understanding of data governance, security, and version control, including experience with GitHub.
  • Ability to manage and interrogate large, complex datasets and apply appropriate statistical methodologies.
  • Excellent interpersonal skills and ability to build relationships with healthcare professionals.
  • High level of numeracy, attention to detail, and accuracy.
  • Strong IT skills, particularly in MS Excel, Word, and PowerPoint.

Desirable:

  • Experience with Stata, SQL, or Python, and advanced Excel functions.
  • Familiarity with Power BI or Quarto for data visualisation and reporting.
  • Experience developing data export and dashboard reporting functions.
  • Understanding of NHS organisational structures and experience preparing data for commissioners and regulators.

The RCPCH has more than 25,000 members and fellows and employs around 200 staff, most of whom work in our London office in Holborn. We have a Devolved Nations team operating from Northern Ireland, Scotland and Wales. Our College values: Include, Influence, Innovate and Inspire, are important to us. These values ensure we bring out the best in each other, strive forward together to make the College a positive and dynamic place to work.

The RCPCH champions Equality, Diversity and Inclusion. Our workplace is inclusive, offering a supportive environment where staff can thrive. The College is keen to accept applications from people with protected characteristics. We believe that our staff should represent all of the diverse communities we serve. Join us to help realise our vision of a world where every child is healthy and well.

The College operates a flexible and modern working policy, whereby our colleagues work in the office for a minimum of 40% over a 4 week cycle and the remainder from home.

The RCPCH is committed to safeguarding the children, young people and adults it has contact with in the exercise of its functions and responsibilities. The RCPCH expects all staff to share this commitment – we place a high priority on ensuring only those who do so are recruited to work for us.

All offers of employment will be subject to satisfactory references and appropriate screening checks, which can include criminal records.

Closing date: 08 February 2026.

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Related Jobs

View all jobs

PPM and Data Analyst

Pensions Data Analyst

Associate Data Analyst

Associate Data Analyst

Associate Data Analyst

Internal Audit-Data Analytics Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.