Senior Procure to Pay Data Analyst at NYUNew York, New York, United States — full-time

Position Summary

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. 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. 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. Establish reporting standards, promote data quality and governance, and leverage emerging technologies, including artificial intelligence (AI), predictive analytics, and automation, to enhance reporting capabilities, strengthen compliance monitoring, and improve organizational effectiveness.

Qualifications

Required Education:
Bachelor's Degree in Business Administration, Finance, Economics, Data Analytics, Information Systems, Supply Chain Management, Statistics, or a related field.

Required Experience:
5+ years data analytics, business intelligence, financial analysis, procurement analytics, or a related analytical role or equivalent combination of education and experience.

Preferred Experience:
5+ years Experience supporting procurement, accounts payable, sourcing, contract management, supplier management, travel, or other Procure-to-Pay functions. Experience with ERP, procurement, and financial systems such as PeopleSoft, JAGGAER, Concur, AppZen, Oracle, Workday, SAP, or similar platforms.

Required Skills, Knowledge and Abilities:
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 performa