Data Analyst Intern

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.

The Customer Support (CS) organization delivers services for all PPS customers across EMEA through a network of outsourced partners.

We are looking for a Data Analyst Intern to join the Delivery Cost & Operations team within the Service Delivery Support and Business Management organization.

This is an internship position designed as a versatile analyst profile , supporting the team across multiple priorities including automation (including AI), operational performance, and financial analysis .

You will be part of an international team , working in a dynamic environment and contributing directly to improving efficiency, cost management, and decision-making across EMEA markets.

Responsibilities

• Design and maintain data analysis frameworks, models, and dashboards (Power BI, Excel) to support decision-making across EMEA Operations.
• Develop and scale data automation solutions and pipelines , transforming manual processes into efficient workflows using SQL, Python, and AI-driven tools .
• Manage and optimize data structures and datasets , ensuring high data quality, consistency, and readiness for advanced analytics.
• Analyze operational and financial performance (KPIs, costs, efficiency metrics) and translate data into actionable insights and recommendations.
• Enhance reporting and scorecards , enabling automated performance tracking and supporting business reviews.
• Contribute to process improvement and transformation initiatives , driving automation, standardization, and simplification across teams.
• Collaborate with cross-functional stakeholders to embed data-driven solutions into operational and financial processes.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Data Engineering, Computer Science, Mathematics, Statistics, or a related field .
• Strong foundation in data engineering and analytics , including data modeling techniques and analytical methods.
• Hands-on experience with SQL, Python, or R for data manipulation, analysis, or automation.
• Familiarity with data visualization tools (Power BI) and ability to build dashboards and communicate insights.
• Basic understanding of data pipelines and big data concepts is a plus.
• Proficiency in Microsoft Office tools (Excel, PowerPoint) , with strong Excel skills as an advantage.
• Strong analytical and problem-solving skills , with the ability to work with complex datasets.
• Fluent English (written and spoken) in an international environment.
• Curious, proactive, and collaborative mindset , with enthusiasm for automation and data-driven decision making.
• Experience our benefits:
• Paid internship within a global, technology driven company.
• Join an international work environment, with opportunities for learning, professional development, and networking across teams.
• Flexible working schedule, with options for part - time agreements (4 hours/day) or full - time (8 hours/day).  The length of the internship ranges from 4 to 12 months .
• Access to our intern community, including career development workshops, learning sessions, and social activities that help you grow professionally and connect with other interns.
• Mentor assigned.
• Opportunity to join the HP Graduate Program following the placement .
• Exclusive HP products offers and discounts for employees, friends and family .
• L unch at reduced prices at our canteen .
• Access to our on ‑ site sports center, including:
• Gym facilities
• Squash, tennis, and basketball courts
• 25+ organized sports and wellness activities, such as HIIT training, squash, basketball, and yoga
• Participation in the NextGen Employee Network, offering regular events and opportunities to connect with other early ‑ career professionals.
• On ‑ site medical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare.
• Free printing access and hands ‑ on workshops using the latest HP technologies — from large ‑ format prints to 3D ‑ printed models.
• Easy commuting: Free parking available or excellent access via nearby train services.
• Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future ‑ skills development.
• Job -
• Administration
• Schedule -
• Part time
• Shift -
• No shift premium (Spain)
• Travel -
• Relocation -