Senior Public Health Intelligence Analyst | 44,253 – 47,665

Overview

In this role you apply specialist public health intelligence to inform needs assessment, commissioning, and decision-making. You will turn complex health and determinants data into clear insights for diverse audiences within a growing Public Health Intelligence team. You’ll produce reports, dashboards, and visualisations, while supporting data governance and cross-organisational data sharing. This is a chance to help tackle health inequalities and improve outcomes in Barnsley’s communities through evidence-led planning.

Pay / Benefits

• hybrid working
• flexible working arrangements
• excellent pension scheme
• development opportunities
• supportive team environment
• competitive salary

Responsibilities

• Provide specialist public health intelligence and analytical support for needs assessment, commissioning, service planning, performance management, and decision-making
• Conduct complex analysis of health, care and broader determinants data, working independently on allocated projects
• Produce analytical outputs (reports, dashboards, needs assessments, briefings, visualisations) tailored to audiences
• Support data sharing, data quality, and information governance across Council, NHS, UKHSA, ICB and voluntary sector
• Communicate findings clearly in written, verbal, and visual formats and build relationships with colleagues and partners
• Contribute to continuous improvement in how data and intelligence are used across the service

Key requirements

• Experience in public health intelligence, health analytics, or a related analytical field
• Ability to analyse and interpret complex datasets using appropriate statistical, epidemiological, and analytical methods
• Degree-level qualification in a relevant subject or equivalent experience
• Evidence of continuing professional development; postgraduate study or specialist training in related disciplines desirable
• Strong understanding of information governance, data protection, confidentiality, data sharing, and data quality
• Ability to communicate complex findings clearly and build effective working relationships
• Ability to manage competing priorities and contribute to continuous improvement

• Effective communication
• Stakeholder engagement
• Prioritisation and time management
• Statistical analysis
• Epidemiology
• Data visualization and reporting

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