Specialist Apprentice Public Health Analyst

37 Hours per week - Full Time – Fixed term for 36 months

Are you passionate about using data to make a real difference to people's lives? Do you have strong analytical skills and want to develop specialist expertise in public health intelligence.

We're looking for an ambitious and motivated individual to join our Public Health Team as a Specialist Apprentice Public Health Analyst. This exciting opportunity combines hands-on experience with a fully funded Level 7 Health and Care Intelligence Specialist Apprenticeship, helping you develop advanced analytical skills while contributing to important public health projects across Reading.

Working alongside experienced Public Health professionals, you'll analyse health, care and population data to understand local needs, identify health inequalities and provide evidence that supports decision-making, service improvement and better outcomes for residents. You'll gain valuable experience in epidemiology, statistical analysis, research, evaluation, data visualisation and population health intelligence.

We seek the best talent from the widest pool of people as diversity and inclusion is the key to our success. Reading Borough Council is a Disability Confident Employer and is committed to the recruitment and continued employment of people with disabilities.

We support hybrid working, it’s important to us that working arrangements are designed to enable our employees to excel and within this role you’ll have the opportunity to work in a way that suits your lifestyle.

About The Role

Alongside your role, you’ll complete the Level 7 Health & Care Intelligence Specialist apprenticeship. The programme combines taught and assessed learning with on-the-job development.

To find out more about the apprenticeship visit: https://skillsengland.education.gov.uk/apprenticeships/st0830-v1-0

As part of our Public Health Intelligence Team, you’ll work with health, care and population data to understand the health needs of our communities and help shape evidence-based decisions.

Your work could include

Analysing population health data to identify trends, emerging issues and health inequalities.

Working with complex health and care datasets and applying statistical, epidemiological and analytical methods.

Contributing to Joint Strategic Needs Assessment (JSNA) outputs, health needs assessments, neighbourhood profiles, service evaluations and epidemiological reports.

Developing dashboards, reports, infographics and presentations that turn complex analysis into clear, accessible insights.

Supporting public health surveillance and the monitoring of local health trends.

Designing and supporting evaluations, surveys and analytical studies.

Working with colleagues and partners across the Council, NHS, academia and the voluntary and community sector.

Using evidence and intelligence to support service planning, commissioning, strategy and policy development.

Developing your own analytical expertise while sharing knowledge and supporting analytical capability across the team.

You’ll have the opportunity to work on a varied portfolio covering areas such as population health, health inequalities, health improvement, health protection, healthcare public health, research and evaluation.

About You

We're looking for someone who is curious, analytical, takes initiative and is eager to learn.

You'll have

GCSE English and Maths at Grade C/4 or above (or equivalent).

A relevant degree in a STEM (Science, Technology, Engineering or Mathematics) or social science (e.g. Public Health, Psychology, Geography, Economics, Accounting) subject, a related field that includes substantial mathematical content, or equivalent analytical experience.

Experience of working with record-level data and applying analytical and statistical methods.

Strong numerical, data analysis and problem-solving skills.

The ability to interpret and communicate complex information to a range of audiences.

Excellent organisational skills and the ability to manage competing priorities.

A commitment to professional development and completing the apprenticeship programme.

Experience of analysing large, complex datasets and of working with analytical tools such as Power BI, SQL, R, Python or SPSS would be advantageous but is not essential.