Public Health Analyst

The Methodist Church in Britain; Greater London; On-site; GBP 42,000 - 65,000; Full time

Job summary

The Methodist Church in Britain invites applications for a two-year fixed-term post in the Public Health Intelligence Team, supporting the Adult Social Care prevention programme in Hackney Council. You will lead end-to-end projects that model social care demand and embed population health management, turning data into actionable insight in Tableau and Python.

Experience in epidemiology and statistics is required, with opportunities to work directly with residents to incorporate lived experience

Qualifications

• Experience in public health or health-focused analytical teams.
• Experience with population health datasets and performance data.
• Proven ability to analyse, interpret and present complex data to varied audiences.
• Strong foundation in epidemiology, statistics and health/care data.

Responsibilities

• Lead end-to-end analytical projects modelling social care demand.
• Embed population health management in Adult Social Care.
• Analyse demographic, health and service data.
• Turn complex datasets into insights using Tableau, Python and Google Workspace.
• Deliver all stages of the evaluation cycle.
• Analyse quantitative and qualitative data and prepare reports for stakeholders.
• Apply machine learning and develop predictive models.
• Develop longer-term models of ASC demand.
• Provide expert analytical advice for evidence-based planning and evaluation.
• Build data and insight capability across ASC Transformation service.
• Lead work areas and collaborate across the organisation.

Skills

Epidemiology

Statistics

Communication

Project management

Tableau

Power BI

Python

R

SPSS

STATA

Tools

Tableau

Power BI

Python

R

SPSS

STATA

Job description

A two-year fixed-term post in the Public Health Intelligence Team, supporting the Adult Social Care prevention programme at Hackney Council. The analyst leads end-to-end projects that model social care demand and embed population health management, turning complex data into insight in Tableau and Python. The work is confined to one programme, with the option of working directly with residents to bring their experience into the analysis. Applicants need a grounding in epidemiology and statistics, and no CV or supporting statement is accepted.

What the job involves

• End-to-end analytical projects modelling social care demand
• Embedding population health management in Adult Social Care
• Analysing demographic, health and service data
• Turning complex datasets into insight using Tableau, Python and Google Workspace
• Delivering all stages of the evaluation cycle
• Analysing quantitative and qualitative data and preparing reports for varied stakeholders
• Applying machine learning and developing predictive models
• Developing a longer-term model of Adult Social Care demand
• Providing expert analytical advice and contributing to evidence-based planning and evaluation
• Building data and insight capability across the wider ASC Transformation service
• Leading specific work areas and collaborating across and beyond the organisation
• Working directly with residents and service users to embed lived experience in insight

What's required

Experience

• Experience working in a public health or health-focused analytical team
• Experience with population health datasets and performance dataProven record of analysing, interpreting and presenting complex data to different audiences

Skills & knowledge

• Strong foundation in epidemiology, statistics and health and care data
• Proficiency in Tableau, Power BI, Python, R, SPSS and/or STATA
• Managing own projects and collaborating across disciplines
• Communicating insight in a way that supports decision-making
• Understanding of data confidentiality, ethics and information governance, applied in practice

Other

• Proactive and technically confident approach
• Commitment to continuous professional development
• Interest in using data to drive meaningful change for communities

Nice to have

• Experience in local government, healthcare, charity or a similar setting