Senior Procure to Pay Data Analyst

Role Overview

The Senior P2P Data Analyst serves as the lead reporting, analytics, and business intelligence resource for New York University’s Procure-to-Pay (P2P) function. Develop and maintain reports, dashboards, key performance indicators, and analytical solutions that provide visibility into procurement, payables, sourcing, contracting, supplier management, and travel operations.

What You Will Do

Through advanced reporting and monitoring capabilities, enable budget holders and University leadership to measure operational performance, monitor compliance with procurement and payment policies, identify risks and opportunities, and support data-driven decision-making.

Why It Might Be a Fit

Working collaboratively with Procurement and Payables leadership, Finance, and campus stakeholders, translate business requirements into actionable insights that drive operational excellence, financial stewardship, and continuous improvement.

Requirements

• Bachelor’s Degree in Business Administration, Finance, Economics, Data Analytics, Information Systems, Supply Chain Management, Statistics, or a related field
• 5+ years data analytics, business intelligence, financial analysis, procurement analytics, or a related analytical role or equivalent combination of education and experience
• Advanced proficiency in Microsoft Excel, including data modeling, pivot tables, advanced formulas, and data analysis techniques
• Demonstrated experience with business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms
• Experience developing executive-level reporting and performance metrics
• Strong analytical, critical thinking, and problem-solving skills with the ability to interpret complex data and communicate findings effectively
• Demonstrated ability to develop meaningful metrics, dashboards, scorecards, and performance reporting frameworks
• Knowledge of data quality management, validation techniques, and reporting governance best practices
• Ability to perform trend analysis, benchmarking, forecasting, and root cause analysis
• Strong written, verbal, presentation, and interpersonal communication skills
• Demonstrated ability to manage multiple priorities, work independently, and maintain accountability for deliverables
• Ability to collaborate effectively with technical and non-technical stakeholders and translate business needs into reporting solutions
• Knowledge of emerging technologies, including artificial intelligence (AI), generative AI, automation, and advanced analytics tools, and their application to business reporting, process improvement, and decision support
• Ability to evaluate and responsibly leverage AI-enabled tools to improve reporting efficiency, data analysis, forecasting, compliance monitoring, and operational effectiveness while maintaining appropriate data governance and security standards

Benefits

• Dental insurance
• Vision insurance
• Annual base salary range of USD $110,000.00 to USD $130,000.00
• Incentives, bonuses, clinical compensation, or other items (not specified)

Tagged as: Data Analysis