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Principal Data Analyst, Improvement Analytics Unit (IAU)

Guardian Jobs
London
2 days ago
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Principal Data Analyst, Improvement Analytics Unit (IAU)

Salary:Up to £65,778 per annum plus excellent benefits.

Contract:Permanent

Hours per week: 37.5 hours, with a requirement to work in-person a minimum of two days per week in line with our hybrid working model.

Our Foundation

We are an independent charitable organisation working to build a healthier UK. Health is our most precious asset. Good health enables us to live happy, fulfilling lives, fuels our prosperity, and helps build a stronger society. Yet good health remains out of reach for too many people in the UK, and services are struggling to provide access to timely, high-quality care.

Our mission is to help build a healthier UK by:

  • Improving people's health and reducing inequalities
  • Supporting radical innovation and improvement in health and care services
  • Providing evidence and analysis to improve health and care policy

We aim for excellence across our work by producing research and analysis, shaping policy and practice, building skills, knowledge, and capacity, and acting as a catalyst for change. Everyone has a stake and a part to play in improving our health. By working together, we can build a healthier UK.

About the role

As a Principal Data Analyst in the Improvement Analytics Unit (IAU), you will collaborate with Senior Analytical Managers and Assistant Directors to develop and deliver an ambitious programme of work evaluating major health initiatives. You will lead IAU projects, support team members, and build relationships with key stakeholders at both local and national levels.

Managing multiple projects, you will identify, design, and take responsibility for the execution of new projects in collaboration with both internal and external stakeholders. You will lead and mentor Senior Data Analysts and Data Analysts, supporting their professional development. You will ensure all analyses and reports are of the highest quality and effectively communicate findings to diverse audiences. You will provide expert advice on causal analytical methods and study design, particularly relating to technology-enabled change.

How to apply

Our priority is to find the right individual for each opportunity. We are dedicated to building an inclusive workplace that values diversity and invite you to find out more. You can find the job description for this rolehere. If you would like to apply, please submit your CV and answer the following application questions in no more than 900 words:

  1. Describe how you have managed multiple projects simultaneously, prioritising tasks and ensuring deadlines were met.
  2. Give an example of how you have provided leadership and mentorship to a team of analysts, ensuring high-quality analysis and reporting.
  3. Provide an example of a project where you collaborated with both internal and external stakeholders. How did you ensure effective communication of research findings to diverse audiences, including policymakers and healthcare professionals?
  4. Tell us about your experience using statistical methods, including any causal inference methods.

Our commitment to inclusion and diversity

We are committed to an inclusive hiring process, where every candidate has the chance to showcase their skills and experience in an accessible and supportive environment. We encourage applicants from all backgrounds, especially those from underrepresented groups, including men and women, people from Black and ethnic minority backgrounds, and individuals with disabilities.

We particularly welcome applications from these groups. Apply to join our team and help us build a diverse and inclusive workplace. If you require support during this process, please contact . Help us make the recruitment process and future employment more accessible and enjoyable for you.

Closing date: July 2, 23:00.

Interview date:July 17 or July 22, 2025.

Interviews will take place in person


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National AI Awards 2025

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