Role: Procurement Data & AI Analyst
Location: Amsterdam

*Current right to work in the Netherlands required

Introduction

A leading global institution is seeking a Procurement Data & AI Analyst to help scale a modern, data-driven procurement function in Amsterdam. This role is ideal for an analytically minded professional who enjoys turning complex operational data into insight, automation, and smarter decision-making. The position combines hands on analytics with the opportunity to embed AI and automation into core business processes within a fast-paced, technical environment.

Responsibilities

• Own and improve procurement data across systems, ensuring accuracy, consistency, and strong controls

• Build and deliver analytics, dashboards, and reporting to provide clear visibility of spend and supplier performance

• Analyse large datasets to identify trends, risks, and optimisation opportunities

• Design and deploy AI driven solutions and automated workflows to improve efficiency and decision making

• Partner with Procurement, Finance, Accounts Payable, and Legal stakeholders to align data, policies, and reporting

• Support continuous improvement initiatives, focusing on simplification, automation, and scalable ways of working

• Act as a key point of contact on data, reporting, and system related procurement topics

Requirements

• Bachelor's degree in a relevant field such as business, operations, data analytics, finance, or supply chain

• 3 to 7 years of experience in analytics, operations, consulting, or a related role, ideally within a data rich environment

• Strong experience with data analysis, reporting, and business intelligence tools

• Hands on experience building AI powered agents, automation, or advanced analytics solutions

• High attention to detail with a strong commitment to data quality and governance

• Ability to work autonomously while collaborating effectively with senior stakeholders

• Strong problem solving and communication skills

• Experience with tools such as Coupa, Databricks, N8N, Cursor, Tableau, or Power BI is preferred