At a Glance
- Tasks: Analyse data to provide insights into the UK health and care system.
- Company: Join The Health Foundation, a leading charity focused on improving health in the UK.
- Benefits: Competitive salary, excellent benefits, and flexible working options.
- Other info: Inclusive workplace with a commitment to diversity and career growth.
- Why this job: Make a real impact on health inequalities and contribute to meaningful change.
- Qualifications: Experience in data analysis and a passion for health and social issues.
The predicted salary is between 50976 - 50976 £ per year.
Salary: £50,976 per annum with excellent benefits
Contract type: Permanent
Hours per week: 37.5 hours per week (or specify hours if part-time). All staff are required to work in person for a minimum of two days per week, in line with our hybrid working policy. However, for this role we are also open to discuss condensed / part-time / job shares. The post-holder may be required to undertake some work outside normal working hours.
About The Health Foundation
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 health and care services are struggling to provide access to timely, high-quality care. The Health Foundation is an independent charitable organisation with a mission to build a healthier UK. We work to achieve this by generating high quality research and analysis; developing practical solutions to the biggest problems in health and health services; engaging, convening and building coalitions to build understanding, inform debate and drive action; and developing the long-term capability needed to transform health and care.
Our values
We expect everyone who works with us to be committed to our values and to share our commitment to becoming a more diverse and inclusive organisation. Our values are impact, evidence, integrity and collaboration. We also expect everyone to share our commitment to becoming a more diverse and inclusive organisation.
About The Role
The Analysis directorate has exciting opportunities for data analysts to join their team. These roles are crucial in advancing the Foundation’s mission and strategy by using innovative approaches to provide insights into the health of the UK population and the health and care system.
The Postholder Will:
- Work closely with the senior data analysts to deliver analyses across the thematic programmes of work to support the mission of the Health Foundation.
- Work across a wide range of topics, data sources, and policy issues.
- Use established and innovative analytical methods to provide insights into the performance of the UK health and care system, prevention, and health inequalities.
- Help the team promote the use of data analytics and insight throughout the health and care system and in public debate.
Our commitment to equality, inclusion and diversity
We are committed to an inclusive hiring process, where every candidate has the chance to showcase their unique skills and experience in an accessible and supported environment, to ensure that we can make the best appointment for each opportunity on merit. We welcome applicants from all backgrounds and encourage those from underrepresented groups in this field to apply to us. We have identified three key areas to improving diversity. Our aim is to achieve a more balanced representation across our organisation, with a particular focus on increasing the number of women in leadership, enhancing the representation of people from Black and ethnic minority backgrounds and welcoming more people with disabilities. As part of this commitment, we strongly encourage applications from these groups.
Closing date: Sunday 16 August 2026, 23:59
Shortlisting: 17 - 20 August 2026
Interview date(s): Interviews for shortlisted candidates will commence on 24/25 August 2026.
Data Analyst employer: THE HEALTH FOUNDATION
The Health Foundation is an exceptional employer, dedicated to fostering a collaborative and inclusive work culture that prioritises impact and evidence-based solutions. With a strong commitment to employee growth, the organisation offers numerous opportunities for professional development while working in a vibrant environment in the heart of the UK, where your contributions can directly influence health policy and improve public health outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at THE HEALTH FOUNDATION.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like THE HEALTH FOUNDATION.
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When you find a suitable opening like Data Analyst at THE HEALTH FOUNDATION, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at THE HEALTH FOUNDATION, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at THE HEALTH FOUNDATION. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at THE HEALTH FOUNDATION
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at THE HEALTH FOUNDATION!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
