Principal Data Analyst, Improvement Analytics Unit (IAU)

THE HEALTH FOUNDATION; London; Hybrid; GBP 66,000; Full time

Job summary

Join a leading charity as a Principal Data Analyst, focusing on major health initiatives. This role involves managing projects, mentoring analysts, and providing expert advice on causal analytical methods. A hybrid working model allows flexibility while fostering collaboration with key stakeholders to improve health outcomes across the UK.

Qualifications

• Experience managing multiple projects.
• Proven leadership and mentorship abilities.
• Expertise in statistical methods and analysis.

Responsibilities

• Lead IAU projects and manage multiple responsibilities.
• Mentor and support development of junior analysts.
• Ensure high-quality analyses and communicate findings effectively.

Skills

Statistical methods

Causal inference methods

Project management

Stakeholder communication

Job description

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 per week. You will be required 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.

It doesn't have to be like this. 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 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.

You will manage multiple projects, identify, design, and take responsibility for the execution of new projects in collaboration with 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 also 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 role here. If you would like to apply, please submit your CV and answer the following application questions in no more than 900 words:

1. Describe a time when you managed multiple projects simultaneously. How did you prioritize tasks 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 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 supported environment. We welcome applicants from all backgrounds and encourage those from underrepresented groups in this field to apply. Specifically, we aim to improve gender balance, increase representation of people from Black and ethnic minority backgrounds, and recruit more people with disabilities.

As part of this commitment, 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 [e-mail]. Help us make the recruitment process and potential 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