Data Analytics & Automation Intern – EMEA Operations

HP; Sant Cugat del Vallès; Presencial; EUR 7800 - 11.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Paid internship

Mentor assigned

Graduate Program path

Lunch discounts

Networking with interns

Descripción de la vacante

HP is offering a Data Analyst Intern position within the Delivery Cost & Operations team. You will work in an international environment, supporting data-driven decision making for EMEA markets. The role emphasizes automation, AI-driven tooling, and robust data analysis to improve efficiency and cost management.

You will develop dashboards, pipelines, and data models using SQL, Python, and Power BI, while collaborating across cross-functional stakeholders and mentors during the internship.

Formación

• Pursuing Bachelor’s or Master’s in Data Engineering, Computer Science, Mathematics or Statistics.
• Strong data engineering and analytics foundation with modeling techniques.
• Hands-on experience with SQL, Python or R for data manipulation, analysis or automation.
• Familiarity with Power BI for dashboards and ability to communicate insights.

Responsabilidades

• Design and maintain data analysis frameworks, models, and dashboards to support decision-making across EMEA Operations.
• Develop and scale data automation solutions and pipelines using SQL, Python, and AI-driven tools.
• Manage and optimize data structures and datasets for high data quality and readiness for analytics.
• Analyze operational and financial performance (KPIs, costs, efficiency) and translate data into actionable insights.

Conocimientos

SQL

Python

R

Power BI

Excel

Data analysis

Data modeling

Big data

Educación

Bachelor/Master in CS/Math/Stats

Herramientas

Power BI

Excel

Descripción del empleo

HP is offering a Data Analyst Intern position within the Delivery Cost & Operations team. You will work in an international environment, supporting data-driven decision making for EMEA markets. The role emphasizes automation, AI-driven tooling, and robust data analysis to improve efficiency and cost management.

You will develop dashboards, pipelines, and data models using SQL, Python, and Power BI, while collaborating across cross-functional stakeholders and mentors during the internship.