Sourcing Analyst

What You Will Do

• Contribute to the Development of an Optimal Go-To-Market Strategy
• Gather and organize data to build a category fact base, including product descriptions, historical spend, volumes, specifications, potential suppliers, current pricing, and business requirements.
• Partner with Category Owners and cross-functional stakeholders to understand operational needs, technical requirements, market dynamics, and upcoming contract or sourcing opportunities.
• Work closely with Category Owners to develop RFx templates that capture the key supplier inputs needed to evaluate cost, service, capabilities, risk, and overall value.
• Sourcing Event Management
• Support the execution of RFx events through eSourcing tools such as Ariba, including event setup, supplier communication, bid collection, and event administration.
• Analyze supplier offers beyond price, including rebates, payment terms, freight, service capabilities, price change mechanisms, capacity, and other commercial or operational factors.
• Develop clear summaries of supplier responses to help category teams understand the trade-offs between cost, service, risk, and business requirements.
• Decision Support & Recommendations
• Partner with Category Leaders and stakeholders to develop supplier award scenarios that balance cost savings, supply assurance, operational needs, market risk, and stakeholder priorities.
• Present findings in a clear, concise, and actionable format for Category Owners, sourcing leadership, and business stakeholders.
• Support the development of negotiation strategies by identifying supplier pricing gaps, market opportunities, cost drivers, and areas of leverage.
• Collaborate with cross-functional teams to gain alignment on final recommendations, business impacts, and implementation considerations.
• Help document the rationale behind sourcing recommendations and support the transition from analysis to execution teams.
• Continuous Improvement & Innovation
• Identify opportunities to improve sourcing processes, analytical methods, RFx templates, reporting, and standard ways of working.
• Leverage the team’s expertise to share best practices on RFx management across the organization.
• Help identify emerging analysis techniques, including AI-enabled tools and automation strategies, to transform how the team supports category management and sourcing decisions.
• Continuously look for ways to improve stakeholder experience, supplier evaluation quality, and the overall effectiveness of sourcing recommendations.

Who You Are (Basic Qualifications)

• Experience in one or more of the following areas: supply chain, procurement, strategic sourcing, analytics, process improvement, finance, operations, or a related business function
• Ability to self-manage work, identify project expectations, define key action items, and drive stakeholder alignment and approvals
• Experience using Microsoft Excel to manage, analyze, and summarize large datasets
• Experience developing clear and effective presentations using Microsoft PowerPoint
• Ability to organize complex information and translate data into actionable business insights
• Ability to work with cross-functional stakeholders and manage multiple priorities
• Strong communication skills with the ability to summarize findings, explain trade-offs, and support decision-making
• Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship

What Will Put You Ahead

• Bachelor’s degree in supply chain management, finance, accounting, analytics, business, engineering, or a related field
• Experience supporting or conducting the Source-to-Contract process in SAP Ariba or a similar eSourcing tool
• Experience supporting RFx events, supplier bid evaluations, sourcing strategy development, or supplier negotiations
• Experience with advanced Excel capabilities, including AI Tools, complex formulas, macros, or VBA
• Experience using analytics visualization or automation tools such as Python, SQL, Qlik, or similar platforms
• Experience working with large datasets to identify trends, build models, evaluate scenarios, or generate recommendations
• Experience identifying and implementing improvements to a data-centric process