Overview
In this role you will apply statistical and analytical methods to public health data, producing timely, accurate outputs aligned with the Code of Practice for Statistics. You will develop reports, dashboards and visualisations in collaboration with colleagues to inform decision-making and improve health outcomes. You will translate user needs into reproducible workflows, contributing to all-Wales health intelligence products while supporting data innovation and governance. This opportunity offers development, flexible working, and a values-driven, inclusive environment with a clear impact on population health.
Pay / Benefits
- training and development opportunities
- flexible working
- supportive and inclusive environment
- career development
- part-time and job sharing options
Responsibilities
- Develop and maintain reproducible analytical pipelines
- Produce high-quality reports, dashboards and visualisations for decision-making
- Apply statistical techniques to interpret complex data
- Engage with users to translate data needs into actionable insights
- Collaborate with stakeholders to plan appropriate analysis approaches
- Ensure outputs comply with data governance, security and the Code of Practice for Statistics
- Apply data quality assurance and escalate data issues when needed
- Share expertise in areas like cancer analysis and Public Health Outcomes Framework
- Contribute to innovation in analytics protocols and reporting templates
- Support professional development and knowledge sharing within the team
Key requirements
- Undergraduate degree in a numerate subject or equivalent
- Experience manipulating large, complex datasets and delivering outputs for others
- Proficiency in R, Python, SQL and Google Cloud Platform
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal abilities
- Ability to work both independently and in a team
- Knowledge of public health policies and current health issues
- Desirable knowledge of SQL, R Studio or GIS systems
- Welsh language skills desirable (levels 1–5)
- Flexibility to travel between sites as needed
- team collaboration
- clear communication
- stakeholder engagement
- R
- Python
- SQL
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