Procurment & Finance Data Analyst
Job description
Overview
Job title: Procurment & Finance Data Analyst
Location: Grannagh, Waterford
Type: Full-Time, Permanent
Are you curious, analytical and interested in using data to improve commercial decisions? We are looking for a Procurement & Finance Data Analyst to join our Waterford team. This role suits a recent graduate or someone with up to three years’ experience who wants to build strong analytical, commercial and problem-solving capability.
Working across procurement, finance and operations, you will turn spend, cost, invoice and supplier data into practical insights. Excel will be an important initial tool, while the role will develop with our evolving data platform, BI and automation capabilities.
Responsibilities
The succesful cadidate wil be based in our Group offices located in Grannagh Co. Waterford. Responsibilities will include but will not be limited to:
- 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 relevant commodity, market and supplier trends and assess their potential impact.
Qualifications
The Ideal candidate will have or demonstrate:
- A 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.
- Strong Excel skills, including formulas, lookups, pivot tables and working with large datasets.
- Familiarity with SQL, Python or another scripting language and Power BI, Qlik Sense or a comparable BI tool.
- An understanding of basic data modelling and an interest in workflow automation, low-code tools and responsible AI-assisted analytics.
- Clear communication skills and the confidence to question assumptions and explain findings to non-technical stakeholders.
Why Join Us?
- Build practical capability across procurement, finance, Excel, SQL, scripting, BI, data modelling and automation.
- Gain exposure to real purchasing, supplier, cost and business performance decisions.
- Work with experienced colleagues in a supportive environment and make a visible impact on commercial decision-making.
INDLP
Skills mentioned

At the heart of what we do is a culture of ingenuity and compassion, centered around our mission to prevent, treat, and eliminate cancer and infectious diseases. Since our inception in 1975, we have grown into a leading nonprofit entity where more than 5,700 dedicated professionals work side by side. Together, we strive to create a supportive and collaborative environment that is as diverse as the health challenges we address. Our team includes world-renowned scientists, clinical researchers, administrative staff, and healthcare professionals, all committed to fostering breakthroughs that change lives. Fred Hutchinson Cancer Center, located in Seattle, Washington, stands at the forefront of innovative cancer research and treatments. With extensive partnerships and a global outlook, our research initiatives reach across borders, involving extensive projects that facilitate the understanding and prevention of cancer and other diseases. Our state-of-the-art facility on a beautiful 15-acre campus exemplifies cutting-edge technology and a patient-friendly approach. Here, we focus on providing optimal care while conducting pioneering research that translates discoveries into improved clinical practices.
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