Senior Data Analyst

The Health Foundation; Greater London; Hybrid; GBP 47,000 - 64,000; Full time

Job summary

The Health Foundation is seeking several Senior Data Analysts to join our directorate. Successful candidates will either work in our Modelling and Simulation function or across a portfolio of analytical projects within the Foundation’s thematic programmes.

Analyses include descriptive and epidemiological work, causal inference and scenario modelling. You will collaborate with senior colleagues and external partners to deliver high‑quality work that informs policy and public health practice.

Responsibilities

• Working with senior team members and colleagues across the Health Foundation to refine research questions, scope projects, identify data sources, prepare analytical protocols and design outputs that support strategic priorities.
• Collaborating with internal and external partners to deliver analytical projects to a high standard, including guiding junior colleagues to share learning and support delivery.
• Leading on data cleaning, data derivation, quantitative analysis, data visualisation and quality assurance to meet high methodological standards.
• Reviewing literature and policy, identifying data sources including open data and health records to support innovative analysis.
• Interpreting analyses and communicating findings through blogs, briefings and presentations for policymakers, researchers and the public.

Job description

Salary

£55,516 plus excellent benefits

Contract type

Permanent, full-time or part-time

Hours per week

37.5 hours per week.

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.

More about us

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. You can read more about them in our five-year strategy. We also expect everyone to share our commitment to becoming a more diverse and inclusive organisation and to help deliver our EDI strategy.

About The Role

There are several Senior Data Analyst roles available across our directorate. Successful candidates will either:

• Work in our newly formed Modelling and Simulation function. In this role the postholder will primarily work on modelling and simulation analyses, with some opportunity to work on broader analytical areas.
• Work across the directorate on a varied portfolio of analytical projects as part of our contribution to the Foundation's thematic programmes. Types of analysis include descriptive and epidemiological analysis, evaluation including causal inference and scenario modelling.

Across Both Roles, Key Tasks Will Include

• Working with senior team members and colleagues across the Health Foundation to refine research questions, scope projects, identify suitable data sources, prepare analytical protocols and design outputs that support the Foundation’s strategic priorities.
• Collaborating with internal and external partners to deliver analytical projects to a high standard, including working with more junior colleagues to share learning, provide oversight and support delivery where needed.
• Leading on data cleaning, data derivation, quantitative analysis, data visualisation and quality assurance to ensure work meets the highest methodological standards and achieves project objectives.
• Reviewing relevant literature and policy, and identifying and evaluating data sources including open data, survey data and electronic health records to support innovative analytical work.
• Interpreting analyses and communicating findings through outputs such as blogs, briefings and presentations for audiences including policy makers, researchers, health care professionals, the media, patients and the wider public.

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 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 8 November 2026 at 23:59

Interview date

Week commencing 7 or 14 December 2026 | Online via MS Teams