Procurement Specialist - Data Analyst

Main Purpose of the Role

Responsible for supporting procurement activities with a focus on metrics-driven performance management. Ensures procurement processes are efficient, cost-effective, and aligned with business goals. Monitors supplier performance, procurement KPIs, and contributes to continuous improvement initiatives.

What You'll Do

• Procurement Metrics Oversight: Tracks and reports on procurement KPIs such as cost savings, supplier performance, delivery timelines, and compliance rates.
• Data Analysis & Reporting: Analyzes procurement data to identify trends, variances, and opportunities for process improvement. Prepares dashboards and reports for management review.
• Supplier Performance Monitoring: Supports the evaluation of supplier performance using defined metrics. Assists in developing scorecards and conducting periodic reviews.
• Process Compliance & Audit Support: Ensures procurement activities comply with internal policies and external regulations. Supports audits by providing accurate and timely data.
• Continuous Improvement: Participates in initiatives to improve procurement efficiency and effectiveness through metric-driven insights.
• Stakeholder Collaboration: Works with internal teams to understand procurement needs and align metrics with business objectives.
• System & Record Maintenance: Maintains accurate records of procurement activities, including metrics tracking, supplier evaluations, and cost analyses.
• Support for Strategic Projects: Assists in strategic sourcing and cost-saving projects by providing data and metric-based insights.

What You Bring

• Education/Experience: NFQ Level 7 qualification in a relevant discipline and 4+ years of related work experience, or an equivalent combination of education and experience.
• Technical/Business Knowledge: Working knowledge of procurement systems, data analysis tools, and business practices. Familiarity with quality systems and regulatory environments.
• Analytical Skills: Ability to interpret data, identify patterns, and make recommendations based on metrics.