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Senior Procure to Pay Data Analyst

New York University New York, NY

New York, NY

Today

$110k - $130k/yr Full time Senior Analytics Business Analytics

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Job Description

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.

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