Data Analytics & Procurement Intern – EMEA Supply Chain and Logistics

## Data Analytics & Procurement Intern – EMEA Supply Chain and Logistics Apply locations:
Sant Cugat del Valles, Barcelona, Spaintime type:
Full time posted on:
Posted Todayjob requisition :
UNI
3037

Data Analytics & Procurement Intern – EMEA Supply Chain and Logistics
** Description
- **** Before applying****:
** please note that, to be eligible for this position, you must be currently enrolled at a university in Spain,
** remain enrolled until the end of the internship**, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in
** October 2026
** and continue participating in the program for a minimum of 5 months and a maximum of 12 months.
** Role Overview
** HP is seeking a motivated, analytical Procurement & Analytics Intern to join the EMEA Supply Chain and Logistics Procurement team.

This internship offers hands-on experience in sourcing, supplier management, analytics, and digital transformation within a global technology company.

The intern will support regional procurement initiatives across Transportation, Warehousing, Drayage, and Customs, using Power BI, Databricks, Excel, and AI-powered solutions to turn logistics data into actionable insights. Working with logistics, finance, and business stakeholders, the intern will contribute to sourcing, supplier performance, cost optimization, and procurement digitalization.
** Key Responsibilities
**** Procurement & Strategic Sourcing Support
*** Support sourcing events, RFQs, supplier benchmarking, and market intelligence.
* Collect, consolidate, and evaluate supplier proposals.
* Participate in supplier selection and commercial evaluations.
* Support contract management and supplier documentation.
* Prepare business cases and sourcing recommendations.
** Analytics & Business Intelligence
*** Develop Power BI dashboards and reports to monitor procurement and supplier performance.
* Analyze large datasets to identify trends, risks, inefficiencies, and savings opportunities.
* Support data extraction, transformation, and visualization using Databricks and analytics platforms.
* Perform spend analytics, cost modeling, and Total Cost of Ownership analysis.
* Prepare executive-ready visuals for leadership reviews and steering committees.
* Contribute to data-driven efficiency projects and AI, Power Platform, and analytics-based solutions.
** Supplier Performance & Continuous Improvement
*** Support supplier KPI tracking, performance reviews, and Q  follow-up actions.
* Identify process optimization, cost reduction, risk, and performance improvement opportunities.
** Cross-Functional Collaboration
*** Work with Procurement, Supply Chain, Logistics, Finance, Sustainability, and Analytics teams.
* Support supplier and stakeholder communication across EMEA.
* Join project meetings and contribute analytical insights to business discussions.
** Qualifications
* *** Education
* * Currently pursuing a Bachelor's or Master's degree in:
* Supply Chain Management Engineering
* Industrial or Logistics Engineering
* Business Administration or related disciplines
** Technical Skills Required
*** Advanced Microsoft Excel skills
* Strong analytical and quantitative capabilities
* PowerPoint presentation skills
* Data visualization and reporting experience
* Ability to work with large datasets
** Preferred
* ** Power BI, Databricks, SQL, Power Query, Power Platform, and AI or Machine Learning fundamentals
** Soft Skills
*** Analytical thinking, problem solving, curiosity, and willingness to learn.
* Clear communication, presentation, teamwork, and stakeholder management skills.
* Ability to translate data into business insights and work in a fast-paced international environment.
** What You Will Learn
*** Strategic sourcing, RFQ processes, supplier management, and procurement analytics.
* Cost modeling, Total Cost of Ownership, and sustainability in global supply chains.
* How to work in a complex EMEA supply chain environment.
** Success Indicators
*** Quality and accuracy of analytical insights and reports.
* Development and adoption of Power BI dashboards and reporting tools.
* Contribution to sourcing, cost optimization, automation, and digital…