(Data Warehouse Analyst, Business Intelligence Analyst, Data Storage Analyst, Reporting Analyst)
IT & Data
Salary
€32,000 - €75,000/yr
Level
Professional
Outlook
Growing
Sector
IT & Data
As a Data Analyst you collect, clean, and interpret large datasets to help organisations make informed business decisions. Your daily work involves importing raw data from various sources, checking it for errors or inconsistencies, and applying statistical or algorithmic techniques to uncover patterns and trends. You present your findings through visualisations such as dashboards, charts, and reports that non-technical colleagues and management can easily understand. You typically collaborate with business analysts, software developers, and department managers to ensure data supports strategic goals. Maintaining data quality and confidentiality is a core responsibility in every industry you work in.
Listen: a day as a Data Analyst
You arrive at the office in Dublin city centre just before nine o'clock, grab a coffee, and open your laptop. Your first task is checking the automated data pipelines that ran overnight. One has flagged an error: a batch of sales figures from the company's CRM system arrived with several thousand blank entries in a key column. You log the issue in Jira, the team's project-tracking tool, and send a quick message to the software developer who maintains the pipeline. By half nine you are working in Python, writing a script to clean the dataset — removing duplicate rows, filling or flagging missing values, and standardising date formats. This takes longer than expected because the raw file mixes two different date conventions, and you have to document every decision you make in case a colleague needs to review your work later.

Career advice on becoming a data analyst
icould career stories
Some videos were filmed in the UK. The work itself is the same, but the exams, qualifications and pay they mention are British — we include them so you get a feel for the job.
A Level 8 Honours Bachelor degree is the most common entry route, with relevant programmes including BSc Data Science, BSc Business Analytics, BSc Computer Science, and BSc Statistics offered at universities such as UCD, TU Dublin, University of Galway, and UL. Helpful Leaving Certificate subjects include Mathematics (Higher Level is strongly recommended), Applied Mathematics, Business, and Computer Science. Some graduates enter through a Level 7 Ordinary Bachelor in Computing or Business Information Systems and progress to a Level 9 postgraduate qualification such as an MSc in Data Analytics or MSc in Business Intelligence, available at institutions including DCU, UCC, and ATU. A QQI Level 5 or 6 PLC course in Computing or IT can serve as an alternative entry point into a Level 7 or Level 8 programme via the linked progression route. There is no statutory professional registration body for data analysts in Ireland, though professional certifications from bodies such as the Royal Statistical Society or vendor certifications (e.g. Microsoft, Google) are valued by employers.
Most data analysts begin in junior or graduate analyst roles, often on structured graduate programmes offered by large employers in financial services, technology, or pharma. With two to four years of experience you typically progress to a senior analyst position, taking ownership of larger datasets and more complex projects. From there, many move into specialist roles such as Data Engineer, Business Intelligence Developer, or Data Scientist, or transition into team lead and managerial positions. Some experienced analysts pursue a Level 9 qualification to pivot into data science or machine learning engineering, which command higher salaries and broader responsibilities.
Artificial intelligence and machine learning tools are automating many routine data cleaning and basic reporting tasks that analysts previously performed manually, raising the productivity of individual analysts significantly. This means employers increasingly expect analysts to work alongside AI-powered platforms such as Microsoft Copilot or automated machine learning tools rather than performing repetitive tasks by hand. However, the human judgement required to frame the right business questions, interpret context, and communicate nuanced findings to stakeholders remains difficult to automate. Analysts who develop skills in prompt engineering, AI literacy, and advanced modelling will be best positioned as the role continues to evolve.
→ Data Analyst (Current role)
4 year • Tech & Engineering
Bachelor4 year • Tech & Engineering
Postgraduate1 year • Tech & Engineering
Postgraduate2 year • Tech & Engineering
Bachelor4 year • Science & Mathematics
Bachelor4 year • Science & Mathematics
Organisations in Ireland that employ people in this occupation.
Dublin City Centre
Analyse client data to drive business intelligence and strategy solutions.
Dublin, D04
Mine large-scale datasets to optimise advertising, products, and user experience.
Dublin and Nationwide
Analyse customer and financial data to support banking decisions and risk.
Nationwide
Interpret healthcare datasets to improve patient outcomes and resource planning.
Dublin and Nationwide
Analyse energy consumption and grid data to support operational decisions.
Dublin, D02
Examine payments and fraud data to improve platform performance and security.
Dublin and Cork
Deliver data analytics and BI solutions for Irish enterprise clients.
Killorglin, Co. Kerry
Analyse financial transaction and currency exchange data for business insight.
Swords, Co. Dublin and Cork
Collect, clean, and publish national statistical datasets for government policy.
Dublin, D04
Analyse platform and advertising data to inform product and policy decisions.
Dublin City Centre
Provide data analysis supporting government and public service programme delivery.
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