Senior Public Health Intelligence Analyst in Cardiff

Data Analysis and Interpretation

• Independently interpret and analyse complex, multi-source datasets, identifying trends, anomalies, and implications for public health policy and service delivery.
• Exercise professional judgement to select and apply appropriate analytical methods, balancing statistical rigour with practical constraints and stakeholder needs.
• Adapt national or standardised models to local datasets and service contexts, enhancing analytical relevance and impact.
• Understand and manage missing or incomplete data, applying appropriate techniques to ensure analytical integrity.
• Plan for iterative analysis, incorporating feedback and emerging priorities to refine outputs and maximise value.
• Apply the six dimensions of data quality to assess and communicate limitations in interpretation, ensuring transparency and trustworthiness.

Technical Tools and Software

• Use advanced analytical tools such as R, Python, SQL, and Google Cloud Platform to develop efficient, reproducible workflows.
• Lead the development of analytical pipelines, applying good practice in software development, testing, version control, and documentation.
• Select the most appropriate tools for each task, demonstrating flexibility and technical leadership across projects.
• Ensure compliance with platform-specific security protocols and contribute to the development of secure, scalable analytical environments.
• Engage with the wider analytical community to stay current with emerging tools, techniques, and standards.

Data Quality and Governance

• Oversee data governance processes, ensuring datasets used in public health analysis are secure, accessible, and fit for purpose.
• Handle sensitive data in compliance with NHS information governance standards, using secure platforms for access and sharing.
• Maintain metadata and documentation to support reproducibility and auditability of analytical work.
• Identify and resolve data quality issues, including missing, inconsistent, or duplicated records, using systematic cleansing and validation techniques.
• Apply statistical disclosure control and de-identification methods to protect confidentiality in outputs.
• Raise data quality or governance concerns promptly and appropriately, contributing to continuous improvement in data management practices.

Operational and Organisation Responsibilities

• Lead the planning and delivery of analytical projects using Agile methodology, managing timelines, resources, and stakeholder inputs to ensure outputs meet strategic objectives.
• Align analytical work with organisational priorities, adapting plans in response to emerging public health issues and evolving stakeholder needs.
• Produce outputs that inform decision making in relation to policy, resource allocation and service delivery.
• Provide analysis of registration data to understand patterns of disease and conditions in the population, and the effectiveness of interventions with public health interpretation.
• Maintain and update datasets, metadata, and documentation in line with governance and audit standards.
• Ensure analytical outputs are stored and shared securely, respecting confidentiality and data protection requirements.
• Take responsibility for the safe use and maintenance of IT equipment and analytical software tools.

Communication and Stakeholder Engagement

• Present complex public health intelligence to senior stakeholders, tailoring communication to technical and non-technical audiences for clarity and impact.
• Facilitate stakeholder workshops to co-design analytical solutions, resolve conflicting priorities, and ensure outputs are user-centred.
• Communicate openly and honestly, including when delivering sensitive or challenging messages, demonstrating emotional resilience and professionalism.
• Translate technical concepts into accessible language, deliver formal presentations, and comply with accessibility standards for data visualisation and reporting.
• Use politically neutral language and adapt communication style to suit diverse audiences and contexts.
• Collaborate creatively and proactively with stakeholders to solve analytical challenges and deliver actionable insights.

Leadership, Mentoring and Professional Development

• Provide technical leadership across analytical projects, setting standards for reproducibility, quality assurance, and governance.
• Mentor and train junior analysts, supporting their development through coaching, onboarding, and skills transfer.
• Contribute to team planning, recruitment, and performance management activities, including appraisals and personal development plans.
• Promote professional values and demonstrate compassion and support for colleagues.
• Identify personal development needs and seek learning opportunities, sharing knowledge and best practice across the team and wider networks.
• Engage with organisational and professional communities of practice, contributing to the development of analytical standards and promoting ethical, high-quality analysis.