Senior Procure to Pay Data Analyst

The Senior Procure-to-Pay (P2P) Data Analyst acts as the lead reporting, analytics, and business intelligence resource for NYU’s Procure-to-Pay function. This onsite role focuses on building dashboards, KPIs, and analytical solutions that improve visibility, compliance monitoring, risk identification, and data-driven decision-making across procurement and payables activities.

Core Responsibilities

• Develop and maintain reports, dashboards, key performance indicators, and analytical solutions covering procurement, payables, sourcing, contracting, supplier management, and travel operations.
• Use advanced reporting and monitoring to help budget holders and University leadership measure operational performance, track compliance with procurement and payment policies, identify risks and opportunities, and support data-driven decisions.
• Partner with Procurement and Payables leadership, Finance, and campus stakeholders to translate business requirements into actionable insights that support operational excellence, financial stewardship, and continuous improvement.
• Define reporting standards and advance data quality and governance, applying emerging technologies such as artificial intelligence (AI), predictive analytics, and automation to strengthen reporting capabilities and compliance monitoring.

Required Qualifications

• Bachelor’s Degree in Business Administration, Finance, Economics, Data Analytics, Information Systems, Supply Chain Management, Statistics, or a related field.
• 5+ years of data analytics, business intelligence, financial analysis, procurement analytics, or a related analytical role, or an 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 producing 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.
• Proven ability to create 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.
• Ability to manage multiple priorities, work independently, and maintain accountability for deliverables.
• Ability to collaborate with technical and non-technical stakeholders and translate reporting needs into usable reporting solutions.
• Knowledge of emerging technologies including artificial intelligence (AI), generative AI, automation, and advanced analytics tools, and how they apply 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.

Technologies and Systems

• Microsoft Excel
• Tableau
• Power BI
• PeopleSoft
• JAGGAER
• Concur
• AppZen
• Oracle
• Workday
• SAP

Preferred Experience

• 5+ years of 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.

Preferred Skills, Knowledge, and Abilities

• Experience working with Higher Education.
• Experience with enterprise data warehouses and reporting environments.
• Experience utilizing AI-enabled analytics, automation, or business intelligence solutions to improve reporting, operational performance, or decision support.
• Demonstrated experience managing data quality, validation, and governance protocols for data pipelines that feed AI, machine learning, or automated workflow engines.

Compensation and Location

Location: New York, NY (onsite).

Salary Range: USD $110,000.00 to USD $130,000.00 per year.

This range reflects annual base salary only and does not include incentives, bonuses, clinical compensation, or other items.