Senior Data Analyst

Senior Data Analyst
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.