Procurement & Finance Data Analyst

About the role

A Procurement & Finance Data Analyst is needed in Grannagh, County Waterford, within a group office. The role suits a recent graduate or someone with up to three years' experience who wants to build analytical, commercial and problem-solving capability. Working across procurement, finance and operations, the analyst turns spend, cost, invoice and supplier data into practical insights. Excel is an important initial tool, and the role develops with an evolving data platform, BI and automation capabilities.

Key responsibilities

• Analyse procurement spend, cost, invoice and supplier data to identify trends, risks, anomalies and commercial opportunities.
• Support sourcing, supplier discussions, forecasting and business decisions through clear, data-driven insights.
• Clean, reconcile and validate information from multiple systems to improve accuracy and consistency.
• Track and report savings, cost avoidance and cost improvement initiatives.
• Develop dashboards, reports and recommendations for procurement, finance and operational stakeholders.
• Use SQL, scripting, data modelling, BI and automation tools to make recurring analysis more efficient, scalable and controlled.
• Monitor commodity, market and supplier trends and assess their potential impact.

Required profile

• Recent graduate or up to three years' experience in an analytical, data, finance, procurement or business role.
• Degree in Mathematics, Statistics, Data Science, Finance, Economics, Engineering, Business, Computer Science or a related discipline.
• Strong numerical, analytical and problem-solving skills, with excellent attention to detail and data accuracy.
• Clear communication skills and the confidence to question assumptions and explain findings to non-technical stakeholders.

Required skills

• Strong Excel skills, including formulas, lookups, pivot tables and large datasets.
• Familiarity with SQL, Python or another scripting language.
• Power BI, Qlik Sense or a comparable BI tool.
• Basic data modelling and interest in workflow automation, low-code tools and responsible AI-assisted analytics.