Procurement Analyst (Data Management Analyst)

Overview

Design and manage procurement data products, data models, and analytics solutions to enable self-service insights across Corporate Procurement. Leverage data science and analytics to support strategic decision-making and advance data-driven transformation.

Key Responsibilities

• Design, develop, and maintain procurement data models, analytical datasets, and semantic layers.
• Build and optimize reusable data products, performance metrics, reporting frameworks, and dashboard architectures.
• Apply advanced analytical techniques, data science methodologies, and emerging technologies.
• Support procurement data governance by establishing and maintaining data standards, quality controls, metadata, business definitions, and data lineage documentation.
• Partner with procurement teams, ITS, and business stakeholders to translate business requirements into scalable analytical solutions.

Required Experience

Minimum of 2 years of relevant experience in data analytics, business intelligence, data management, data science, or related fields. Experience designing analytical data models, semantic layers, and self-service analytics environments. Strong understanding of data architecture, data governance, and information management principles. Experience working with modern BI and analytics platforms such as Power BI, Fabric, Tableau, or similar technologies. Experience using SQL, Python, DAX, Power Query, or comparable analytical tools. Experience developing predictive, statistical, or advanced analytical models is desirable. Experience working with large and complex datasets and translating business requirements into analytical solutions.

Qualifications

Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related discipline.

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