Data Analyst Co Op Jobs in Tennessee (NOW HIRING)

Procurement- Data Analyst Co-op

In this role you will apply data analytics to drive purchasing operations excellence. Collect information, inputs, and data from various sources and conducts analysis to support and report sourcing work. The student co-op builds and maintains purchasing analytics and intelligence reporting across the procure-to-pay (P2P) process, validates data quality, analyzes cost, supplier, and process performance to support category and sourcing decisions, and supports procurement systems and category review activities. Work is performed under supervision, with increasing ownership of recurring deliverables over the term of the role.

• Location: Nashville, TN
• Start Date: Fall 2026 or Spring 2027
• BS or MS Degree: Supply Chain, Business Analytics, Industrial Engineering, Information Systems, Statistics, or a related discipline.
• Classification: Onsite with flexibility- 3 days in-office. 
• Length: 9-12-months

Major Programs Considered: Bachelor's or Master's

• Supply Chain, Business Analytics, Industrial Engineering, Information Systems, Statistics, or a related discipline.

Co-Op program criteria:

• Must be a currently enrolled student pursuing a Bachelor or Master degree. 
• Minimum 2.5 or above GPA preferred.
• Must be able to complete a 9- 12 months commitment, no exceptions. 
• Must be able to complete 40 hours per week and 3 days in-office Nashville, TN.
• Willingness to learn from others on the job.

Focus Area Allocation (weighted)

• Purchasing Analytics, Intelligence & Reporting     60%

• Analytics Support & Documentation                       25%

• P2P Sytems & Category Review Support                10%

• Execution & Coordination Support                             5%

•  Total                                                                              100%

Purchasing Analytics, Intelligence & Reporting - 60%

• Build, enhance, and maintain purchasing analytics dashboards to agreed business requirements; optimize performance and usability.
• Develop and maintain KPIs, calculated fields, and filters, and standardize metric definitions across the reporting portfolio.
• Monitoring scheduled data refreshes and validate data loads across the procure-to-pay data landscape for completeness, accuracy, duplication, and outliers.
• Prepare and publish the recurring reporting package, reconciling reported figures to source before release.
• Analyze cost, supplier, and P2P process performance; identify the underlying drivers of variance and flag anomalies for action.
• Translate analysis into purchasing intelligence, and present findings and improvement opportunities to sourcing and category stakeholders.

Analytics Support & Documentation - 25%

• Document reporting logic - data inputs, calculation and business rules, outputs - and the underlying data model.
• Support testing and user acceptance activities; log and track defects to resolution.
• Prepare user guides and standard operating procedures and keep them current as reporting changes.
• Support data preparation and analysis for modeling work and track report adoption and usage.

P2P Systems & Category Review Support 10%

• Document purchasing requirements for procure-to-pay implementations and support configuration decisions.
• Contract Lifecycle Management - Support data cleansing, migration, and reconciliation during rollout, and user onboarding after go-live.
• Prepare analytical packs for supplier and category review forums.
• Support A- Panel reviews with Category Managers.

Execution & Coordination Support - 5%

• Maintain task, backlog, and milestone tracking, and requirements documentation for change requests.
• Capture action items from reviews and project sessions and track to closure.

Automation & Continuous Improvement

Not separately weighted and expected as a normal part of the work. Across all areas, the intern identifies manual steps in recurring reporting and the P2P process automates refresh, validation, and reconciliation activities where practical, and creates reusable queries and views that reduce repetitive effort and manual spreadsheet dependency.