Spend Data Analyst

About the Role

• Support customers in gaining visibility into their procurement spend and identifying opportunities for cost optimization through advanced data analytics.
• Analyze large and complex datasets to uncover trends, patterns, and strategic insights within Source-to-Pay (S2P) processes.
• Cleansse, validate, classify, and categorize spend data while performing supplier normalization and consolidation analysis.

Key Responsibilities

• Analyze procurement transactions including purchase orders, invoices, goods/services purchases across suppliers, categories, business units, and geographies.
• Maintain spend taxonomies and category hierarchies to enable meaningful data-driven decision-making.
• Identify maverick spend, fragmented spend, supplier concentration, and other key procurement improvement opportunities.
• Create management-ready reports, dashboards, presentations for internal teams and external customers.

Data Quality & AI

• Perform rigorous data quality checks to investigate anomalies, inconsistencies, and gaps in procurement datasets.
• Leverage Microsoft Copilot, ChatGPT, Gemini, and other GenAI tools to enhance analysis efficiency, documentation, research, and reporting. Explore automated solutions for spend classification and insight generation.