Data has always been part of public health. What has changed is the scale, speed and importance of that data.
During the COVID-19 pandemic, the public became familiar with infection rates, modelling, dashboards, risk groups and surveillance. But public health analytics goes far beyond pandemic response. It supports decisions on vaccination, screening, health inequalities, environmental hazards, long-term conditions, service planning and emergency preparedness.
For jobseekers, this makes public health analytics one of the most interesting career areas in UK public health.
It is also a field that attracts people from different backgrounds. Some come through epidemiology or statistics. Others arrive from NHS informatics, local government intelligence, data science, health economics, geography, social research or operational analysis.
What they have in common is the ability to turn information into decisions.
Why public health analytics is becoming more important
Public health organisations are dealing with more complex challenges. Infectious diseases, climate-related health risks, antimicrobial resistance, health inequalities and pressure on health services all require good data.
UKHSA’s 2024 to 2025 business plan describes the health security landscape as complex and challenging. It points to childhood infections such as whooping cough and measles, climate change, vector-borne disease, flooding, extreme weather and antimicrobial resistance as areas requiring sustained public health work.
These are not problems that can be managed by instinct alone. They require surveillance, analysis, modelling, evaluation and clear communication.
Public health analytics helps answer questions such as:
- Which groups are most at risk?
- Where are outcomes getting worse?
- Are services reaching the people who need them?
- Which interventions are working?
- Where should resources be targeted?
- What does the data tell us before a problem becomes visible elsewhere?
That makes analytics central to modern public health.
What do public health analysts actually do?
Public health analytics roles vary depending on the organisation. A local authority analyst may work on Joint Strategic Needs Assessments, health inequalities, service evaluation and local population profiles. An NHS analyst may focus on patient flows, population health management, screening, outcomes or variation in care. A UKHSA analyst may work on surveillance, outbreaks, health protection or environmental hazards.
Common tasks include:
- collecting and cleaning datasets
- analysing trends by age, sex, geography, deprivation or risk group
- producing dashboards and reports
- mapping health outcomes
- supporting needs assessments
- evaluating programmes
- monitoring outbreaks or emerging risks
- explaining findings to non-technical audiences
- advising commissioners, consultants, directors and programme leads
The job is not only about technical analysis. Much of the value comes from interpretation. A good analyst helps decision-makers understand what matters, what is uncertain and what action might be needed.
Data roles in UKHSA and health security
UKHSA is a major employer and source of demand for public health data skills.
Its business plan says the agency is ambitious in its use of genomics, big data and technology. It also describes further development of pathogen genomics capabilities for antimicrobial resistance, emerging and pandemic infectious disease threats, vaccine-preventable diseases and blood-borne viruses.
UKHSA’s core budget section also identifies Data, Analytics and Surveillance as a major group, responsible for delivering value from high-quality data, using innovative analytical techniques and providing insights to assess the risk and impact of health security threats.
That tells us something important about the direction of travel. Public health analytics is not a back-office function. It is part of national preparedness and response.
Roles in this area may include:
- surveillance analyst
- epidemiologist
- health protection analyst
- data scientist
- bioinformatician
- public health intelligence specialist
- modelling analyst
- antimicrobial resistance analyst
- genomics data specialist
- dashboard developer
- data engineer
- insight analyst
Some of these roles are highly technical. Others sit closer to policy, operations or programme delivery.
Public health analytics in the NHS
The NHS is also placing more emphasis on data and digital transformation.
NHS England says technology is being used to help health and care professionals communicate better and give people easier access to care. It also states that people, data and technology are crucial to the ongoing evolution of the NHS.
The same NHS England page refers to national data infrastructure, digital systems and platforms such as the NHS App and Federated Data Platform.
For public health candidates, this matters because NHS data work increasingly overlaps with population health. Integrated Care Boards and local systems need analysts who can look beyond single organisations and understand the needs of whole populations.
Examples might include identifying variation in diabetes care, monitoring cardiovascular prevention, analysing screening uptake, mapping emergency admissions, or supporting targeted work with communities experiencing poorer outcomes.
Public health analytics in local government
Local authorities remain central to public health intelligence.
Council public health teams use data to understand their populations, plan services, assess needs and monitor outcomes. This work often brings together health data, social care data, census information, deprivation indices, housing data, education data and community insight.
A public health intelligence analyst in local government might work on:
- Joint Strategic Needs Assessments
- Director of Public Health annual reports
- substance misuse needs assessments
- obesity and physical activity profiles
- sexual health data
- children and young people’s health
- ageing populations
- inclusion health
- air quality and environmental health
- health inequalities by ward or neighbourhood
These roles are ideal for people who enjoy applied analysis. The work is close to local decision-making and often has a direct link to commissioning, strategy and service improvement.
The skills employers look for
Public health analytics jobs usually require a mix of technical, analytical and communication skills.
Technical skills may include Excel, SQL, R, Python, Power BI, Tableau, GIS, statistical methods, epidemiology, data visualisation or information governance. Not every role needs all of these. A junior analyst role may prioritise Excel, data cleaning and basic statistics. A data scientist role may require coding, modelling and machine learning.
Analytical skills include knowing how to interpret trends, compare populations, understand bias and uncertainty, and avoid overclaiming from imperfect data.
Communication skills are just as important. Public health analysts often need to present findings to people who are not analysts. That means writing clearly, explaining caveats and focusing on decisions rather than technical detail.
Employers also value curiosity. The best analysts do not just produce charts. They ask whether the data makes sense, what might be missing and what the findings mean for real people.
How to move into public health analytics
There is no single route into public health analytics.
Some people start with a degree in public health, epidemiology, statistics, mathematics, economics, geography or social science. Others come from NHS business intelligence, local government performance teams, research roles, data science bootcamps or health service management.
If you are trying to move into the field, useful steps include:
Build a portfolio of public health analysis. Use open datasets to create short examples of analysis, charts or dashboards. Topics could include life expectancy, smoking, obesity, vaccination uptake or health inequalities.
Learn one analysis tool well. Excel is still useful, but R, Python, SQL and Power BI can help you stand out.
Understand public health concepts. Employers will expect you to understand inequalities, deprivation, prevention, epidemiology and population health.
Practise explaining analysis simply. A technically good analysis is less valuable if decision-makers cannot understand it.
Look for adjacent roles. NHS analyst, local authority intelligence, research assistant, evaluation officer and performance analyst roles can all lead towards public health analytics.
Why this career path is attractive
Public health analytics offers a strong mix of intellectual challenge and real-world impact.
You are not analysing data for its own sake. You are helping decide where services should go, which communities need support, how risks are changing and whether interventions are working.
It can also be a flexible career path. Analysts can move between local government, the NHS, UKHSA, universities, consultancies, charities and policy organisations. With experience, public health analysts can progress into senior analyst, intelligence manager, epidemiologist, consultant, data science, health economics or strategy roles.
For people who enjoy evidence, problem-solving and public service, it is a compelling area.
Challenges to be aware of
The work is not without challenges.
Public health data is often messy. Datasets may be incomplete, delayed or collected for different purposes. Small numbers can make local analysis difficult. Data sharing can be slow. Different organisations may use different systems. Analysts may also have to communicate uncertainty to decision-makers who want clear answers.
That is part of the job. Public health analytics is not about pretending data is perfect. It is about using the best available evidence responsibly.
Conclusion
Public health analytics is becoming more important across the UK health system.
UKHSA is investing in data, surveillance, genomics and technology. NHS England is placing data and digital infrastructure at the centre of future health service improvement. Local authorities continue to rely on public health intelligence to understand need, reduce inequalities and plan services.
For jobseekers, this creates a wide range of opportunities. Whether your background is in public health, statistics, NHS data, local government, research or data science, there is growing demand for people who can turn data into decisions.
Interested in public health data, intelligence or epidemiology roles?