Overview of Job
As a Data Analyst, you will play a crucial role in enabling data-driven operations and decision-making within the public health domain. Your primary responsibilities will revolve around the collection, processing, and integration of data from various sources to build robust data pipelines and dashboards, reports and visualisations.
A key aspect of your work will involve designing and developing data models and schemas that facilitate efficient data storage, retrieval, and analysis. You will implement extraction, transformation, and loading (ETL) processes to ensure data quality, consistency, and integrity throughout the data lifecycle.
Collaboration with public health professionals and stakeholders across the organisation will be essential to understand their data needs and develop tailored data solutions that meet their requirements. You will act as a bridge between the technical and non-technical worlds, providing guidance and support on data access, analysis, and interpretation.
As part of your role, you will ensure adherence to data governance policies, security protocols, and organisational standards, safeguarding the confidentiality and integrity of sensitive public health data. Data profiling, source system analysis, and data quality checks will be crucial to identify and resolve any data integrity issues that may arise.
Your role will include the production of health indicators, quality assurance of dashboard products, and the facilitation of downstream analyses by ensuring data quality, integrity, and accessibility.
You will work matrix style with colleagues across UKHSA to develop and deliver national health intelligence outputs to prepare for, prevent, and respond to external hazards that threaten the health of nation's population.
Main Duties of the Job
- Collation, analysis, interpretation and visualisation of public health information.
- Implement data extraction, transformation, and loading (ETL) processes to ensure data quality and consistency.
- Building and maintaining interactive dashboards and data visualisation tools to facilitate data exploration and reporting.
- Participating in the "business as usual" operations of data products, such as the UKHSA data dashboard, including running data pipelines and quality assuring outputs.
- Liaising, where necessary, with colleagues concerning issues of data quality and effect on analysis.
- Communicating analytical/statistical matters to non-analytical/statistical professionals.
- Ensuring personal and promoting team compliance with corporate policies in relation to security, confidentiality and release of information.
We pride ourselves as being an employer of choice, where Everyone Matters promoting equality opportunity to actively encourage applications from everyone, including groups currently underrepresented in our workforce.
UKHSA ethos is to be an inclusive organisation for all our staff and stakeholders. To create, nurture and sustain an inclusive culture, where differences drive innovative solutions to meet the needs of our workforce and wider communities. We do this through celebrating and protecting differences by removing barriers and promoting equity and equality of opportunity for all.
Essential criteria
- Experience of coding (e.g., SQL, R, Python) and familiarity with good data science practice e.g., version control
- Experience working with health-related datasets or information systems in health-related organisations
- Experience in using Microsoft Power BI to analyse data and build, develop, support dashboards
- Working knowledge of data security, management and information governance
- Perform analysts to support business decisions e.g. assess data, find trends, drill down, assess relationships or causality, create forecasts
- Experience of producing data models, understanding where to use, how to compare and reverse-engineer a data model from a live system
- Ability to analyse complex issues where material is conflicting and drawn from multiple sources
- High degree of numeracy and literacy
- Ability to present, communicate and visualise data so that it is accessible to others
- Ability to communicate effectively with technical and non-technical audiences
- An understanding of and commitment to equality of opportunity and good working relationships
- A first or second class honours degree in a numerate subject (e.g. Statistics, Mathematics, Economics, Sciences, Business Studies, Psychology, Geography or similar) or a higher degree, e.g. a MSc or PhD, in a numerate subject or have worked in a data analysis field and are able to demonstrate Continuous Professional Development in data analysis at the same level as a foundation
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