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Procurement Services Analyst

The Carney Group
Job Description

This role will lead the focus on requirements gathering, building, implementing and supporting the company’s strategic initiatives surrounding Procurement data. Work as a liaison among stakeholders to analyze, communicate and validate requirements for changes to current business processes. Involved in mapping current-state and future-states ensuring regional and corporate business requirements are met.

Key Responsibilities

  • Spend considerable time and effort with data collection, cleansing, analyzing and building data solutions.
  • Analyze business processes to identify efficiencies and improve accuracy and timeliness of reporting.
  • Support source-to-pay process improvement and optimization projects.
  • Manage KPI’s to measure, control and benchmark procurement processes including creation of recurring metrics reports to drive improvements. Develop methods of measuring and defining savings
  • Measure actual vs planned savings; as savings trends are identified, own action plans to meet goals and develop solutions.
  • Preparing Program report containing monthly YTD metrics and provides cross organizational updates to our client
  • Collaborate with project teams to understand processes and develop solutions
  • Support key project implementation activities such as implementation planning; data conversion; training plan development and execution; procedure development; KPI and performance management solution development; user acceptance testing planning and execution.

Requirements

  • Bachelor’s in quantitative field (Math, Finance, Business Statistics, Economics), with 5-7 years’ experience, preferably in a procurement/supply management environment.
  • Strong experience and analytical capabilities in data collection, cleansing, mapping, mining, and business intelligence using Excel, Access, PowerBI, PeopleSoft 9.2, etc.
  • Experience working within a Procurement/Supply Chain organization highly preferred
  • Experience working with large data sets. Knowledge of data modeling or simulation preferred.
Contact Information