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Data analyst

Dublin
Royal College Of Surgeons In Ireland (Rcsi)
Data analyst
Posted: 22 August
Offer description

Join to apply for the
Data Analyst
role at
Royal College of Surgeons in Ireland (RCSI)
Join to apply for the
Data Analyst
role at
Royal College of Surgeons in Ireland (RCSI)
Department:
National Office of Clinical Audit (NOCA)
Reporting to:
Head of Data Sciences NOCA
Closing date:
11th of August 2025
About National Office of Clinical Audit (NOCA)
The National Office of Clinical Audit (NOCA) was established in 2012 to create sustainable national clinical audit across the Irish healthcare system.
NOCA is funded by the Health Service Executive Office of the Chief Clinical Officer (CCO), governed by an independent voluntary Board and operationally supported by the Royal College of Surgeons in Ireland (RCSI).
Internationally, clinical audit is a recognised approach to improving the quality of patient care and improving outcomes.
Working with the HSE and the Department of Health (DoH) through its National Clinical Effectiveness Committee (NCEC), NOCA designs, establishes and supports a portfolio of national clinical audits based on national priorities that include burden of care, variation of care, availability of clinical standards and economic benefit.
NOCA advocates for change at a national level, arising from key findings in our audits.
We do this by working with senior decision makers at both policy and operational levels within the Irish healthcare system.
NOCA promotes transparent reporting and publishes national annual reports for each of its audits well as providing regular reports to health service providers.
NOCA Audit Portfolio
NOCA is the largest national clinical audit provider in Ireland.
It has a growing number of national clinical audits and registers.
Broadly the audit portfolio can be summarised into four key areas including: Trauma and Surgery, Critical Care, Paediatrics and Chronic Disease.
Purpose of the role
The postholder will work within the NOCA Data Science team to provide analytical support to audits across the NOCA audit portfolio
Role and Responsibilities:
Data Quality
Perform data validation checks on data
Provide feedback on data quality to audit managers and data providers
Support audit managers and audit coordinators to achieve high quality data
Contribute to ongoing audit and evaluation of data quality
Analysis
Liaise with internal and external personnel to ensure that analytical requirements of clinical audit are captured
Provide statistical outputs and responses to data requests from stakeholders and data providers
Complete descriptive epidemiological and statistical analysis including calculations of derived variables
Transform raw data into insights (eg reports, charts, visualisations)
Assist with writing annual reports, research papers, journal articles, trend papers as appropriate
Quality Control and continuous improvement
Maintenance of data science documentation (eg data dictionaries, analysis plan)
Contribute to quality control checks of outputs from data science team
Check/test code and outputs for data validation, analysis and visualisation
Contribute to the enhancement/redevelopment of analytical tools as appropriate
Contribute to automation of data analytical processes and presentation of outputs
Participate in NOCA clinical audit teams
Contribute to NOCA meetings
Participate in audit governance committee meetings as required
Essential Requirements/Qualifications for the role:
Hold a relevant primary degree in a relevant field of study with a strong data element- mathematics, computer science, statistics, data analytics, biological sciences, social sciences, etc.
Has practical experience using a statistical analysis package (Stata/SPSS/SAS) and data analysis tool (SQL/R/Python)
Demonstrable understanding of datatypes and descriptive statistical methods
Excellent eye for detail, with a curious mindset and attitude for data discovery
Ability to independently manage your own time and deliverables
Desirable Requirements/ Qualifications for the role:
Strong communication and documentation skills
Use of health domain data standards
Experience analysing and reporting health information
Interest in clinical audit and quality improvement
We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application — we'd love to hear from you.
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