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Procurement Data Solutions Specialist

Job in New Haven, New Haven County, Connecticut, 06540, USA
Listing for: Yale University
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 68000 USD Yearly USD 68000.00 YEAR
Job Description & How to Apply Below

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community-eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!

Salary Range $68,000.00 - $

Overview

Reporting to the Procurement Operations Business Analytics Leader, this position will support the implementation of technologies for advanced reporting of Procurement activities – most notably through the Jaggaer platform. The role will work to introduce analysis initiatives that generate insights on transaction volumes university-wide and process metrics across Procurement (Sourcing/Purchasing, Accounts Payable, Contracts, and eCommerce) to inform procurement strategy, enhance user experience and support institutional change‑management efforts.

  • Jaggaer System Implementation and Support – key contributor in the rollout and optimization of the Jaggaer e‑Procurement system, collaborating with internal stakeholders and Jaggaer support to configure, test, and deploy system modules. Tracking adoption and performance metrics, collecting user feedback, and monitoring platform updates and best practices.
  • Cross‑system Data Integration and Business Analytics – integrate and analyze procurement data from Jaggaer and other university systems (ERP, finance, grants management, supplier databases, specialized finance systems). Develop dashboards and reports for strategic decision‑making and KPI tracking, collaborating with IT, Finance, and Institutional Research teams to ensure data accuracy and meaningful reporting.
  • Process Improvement – assess procurement workflows across university units, identify inefficiencies, gaps, and standardization opportunities. Recommend and implement process changes that enhance automation, reduce cycle times, and improve user satisfaction, ensuring alignment with policy and compliance.
  • Change Management & Stakeholder Engagement – translate data insights into clear narratives for decision makers and end‑users. Lead or contribute to training sessions, user forums, and communication initiatives to promote new processes and tools, fostering a culture of continuous improvement.
  • Required

    Skills and Abilities
  • Proficiency in data compilation and visualization tools such as Alteryx, Power BI, or Tableau.
  • Excellent oral and written communication skills, with the ability to adapt style for audiences at all levels and explain complex concepts to non‑technical stakeholders.
  • Strong analytical and problem‑solving skills.
  • Exceptional organizational skills and a proven ability to plan, track, and meet ambitious deadlines.
  • Preferred

    Skills and Abilities
  • Inquisitive mindset – observe current practices, identify issues, and propose solutions.
  • Ability to use data and user feedback to diagnose root causes, prioritize opportunities, and evaluate results, exercising sound judgment to deliver strong outcomes.
  • Rapid learning and application of new technologies, including NLP, ML, and prompt engineering.
  • Preferred

    Education and Experience
  • Experience in a financial, audit, or business operations environment – particularly higher education or complex, decentralized organizations.
  • Experience with programming languages such as Python or Visual Basic, and data querying languages; experience in code‑based automation and data blending techniques.
  • Principal Responsibilities
  • Creates a relational database from existing study data stored in multiple sources.
  • Develops and documents operational procedures for data collection, editing, verification, and management, including data file documentation and variable definitions.
  • Develops statistical programs to incorporate data from multiple studies or projects.
  • Organizes and creates documents and tables related to datasets; communicates with data sources regarding accuracy.
  • Evaluates and analyzes data using accepted statistical techniques and software, performing descriptive and multivariate analyses.
  • Provides support in managing and analyzing data with advanced statistical knowledge.
  • Designs and implements quality control
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