Principal Data Analyst, Improvement Analytics Unit (IAU)

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. It doesn't have to be like this. Our mission is to help build a healthier UK by:

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

We aim for excellence across our work and will achieve this 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.

Initially the postholder will work predominantly within our growing technology-enabled change (TEC) evaluation programme. The TEC programme involves the causal evaluation of interventions or pathway changes in health and care enabled by innovative technology. The postholder may also work on projects on other programmes of work, including primary care and health system performance. Ideally the postholder will have experience of evaluations of new technologies or technology-enabled service change in health or care.

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 and support 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.

Hours: 37.5 hours per week, you will be required to work in-person a minimum of two days per week.

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 role Here. If you would like to apply, please submit your CV, and using no more than 900 words answer the following application questions:

1. By the time when you managed multiple projects simultaneously how did you prioritise task and ensure deadlines were met?
2. Give an example of how you have provided leadership and mentorship to a team of analysts, to ensure 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 or research findings to diverse audiences including policymakers and healthcare professionals?
4. Tell us about your experience using statistical methods , including any casual inference methods? 

Closing date: July 2, 23:00

Interview date: July 17 or July 22, 2025

*Interviews will take place in person

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