Contract Type: Initial 3-Month Contract (Dublin / Hybrid)
Day Rate: Competitive Daily Rate
About the Role
We are seeking an experienced Data Analyst for an initial 3-month contract in Dublin (Hybrid mode) with a strong likelihood of extension. In this role, you will bridge the gap between technical data engineering and business decision-making. Your core mission will be transforming complex operational datasets into actionable, automated Power BI solutions while actively reducing reliance on legacy spreadsheet reporting.
Key Responsibilities
- Power BI & Data Visualisation: Design, build, and optimize scalable Power BI dashboards, data models, DAX measures, and Power Query transformations.
- SQL & Data Preparation: Query, extract, cleanse, and consolidate data across multiple enterprise databases and source systems using SQL.
- Reporting Automation: Identify manual, spreadsheet-based reporting workflows and engineer automated, repeatable BI solutions.
- Stakeholder Engagement: Facilitate requirements-gathering sessions with non-technical business leaders to define meaningful KPIs, business rules, and analytical outputs.
- Data Quality & Governance: Perform validation, reconciliation, and root-cause analysis on data discrepancies; document report definitions to build a single source of truth.
Required Experience & Skills
- 3-6 years of experience in a dedicated Data Analyst or Business Intelligence role.
- Advanced Power BI & SQL: Proven track record in data modeling (dimensional/relational), complex SQL joins/CTEs, and hands-on DAX/Power Query development.
- Data Quality Control: Demonstrable experience investigating ambiguous datasets, resolving discrepancies, and running quality checks across systems.
- Business Acumen: Ability to translate abstract business questions into clear visual metrics and explain technical limitations to stakeholders.
- Education: Degree in Data Analytics, Computer Science, STEM, or a related field preferred.
Nice-to-Have
- Exposure to Azure data platforms, cloud warehouses/lakehouses, or Python.
- Background in Financial, Investment, or PMO/Portfolio reporting.
- Experience in Agile delivery environments or holding a Microsoft Power BI Certification.