Job Summary: Internship in advanced data analytics for customer experience, leveraging AI within an innovative telecommunications environment. Key Highlights: 1. Development of advanced competencies in applied data analytics 2. Participation in high-impact projects involving data and AI 3. Mentorship and continuous learning support ORANGE ESPAGNE SAU **Pozuelo de Alarcón** (Madrid) T/2026/49825 What does the company offer? * **1** internship position at ORANGE ESPAGNE SAU for **6 months**, starting in **October 2026** * Monthly gross stipend of **500.00€** * 5 hours per day with flexible working hours * Hybrid remote/in-person internship * START program * Internship center in Spain: Paseo del Club Deportivo, 1, Edificio 9 Pozuelo de Alarcón (Madrid) What profile is the company seeking? * **University undergraduate or master’s student:** Bachelor’s degree in Data Engineering, or Bachelor’s degree in Intelligence and Business Analytics * **Language skills:** English level C1. Competency Assessments As part of the selection process, you will be required to complete the following assessments: * English language test Proposed Training Plan **MasOrange** is Spain’s leading telecommunications operator, resulting from the integration of Orange España and MásMóvil. The group stands out for its commitment to innovation, advanced analytics, and continuous improvement of customer experience, leveraging data technologies and artificial intelligence to drive strategic decision-making. Its cross-functional environment enables students to participate in high-impact projects focused on enhancing customer experience through data. The internship will take place within the Corporate area, specifically in the CX Cockpit team, which specializes in customer experience analytics. This team works on data extraction, analysis, and automation to proactively identify issues in customer experience and generate insights that enable improvements. The environment combines advanced analytics, data visualization, and կիրառացիա of artificial intelligence in business processes. **Training Objectives** This program will enable students to develop advanced competencies in data analytics applied to customer experience: * **Advanced Data Analytics:** Learn how to analyze large volumes of data to identify patterns and areas for improvement in customer experience. * **Insight Generation:** Develop the ability to extract relevant conclusions that support decision-making. * **Data Visualization:** Become familiar with dashboard tools to represent metrics clearly and accessibly. * **Automation and Monitoring:** Understand automated KPI tracking systems and early incident detection. * **Application of Artificial Intelligence:** Get introduced to using AI models to facilitate interpretation of complex data. **Mentorship and Support** The intern will be assigned a specialized mentor who will: * Define a training plan tailored to the intern’s profile. * Provide continuous learning support. * Offer guidance during the development of analyses and projects. * Deliver periodic feedback to enhance competency development. **Candidate Profile** **Qualifications:** Bachelor’s degree in Engineering, Business Analytics, Data Science, or related fields. **Competencies and Skills:** * Analytical ability and attention to detail. * Interest in customer experience and data analysis. * Initiative and motivation for learning. * Ability to work collaboratively in cross-functional environments. **Languages:** * English level B2\. **Preferred Qualifications:** * Intermediate/advanced SQL proficiency. * Experience with data visualization tools (e.g., Data Studio). * Basic knowledge of artificial intelligence. This internship offers an opportunity to develop skills in advanced analytics applied to customer experience within a corporate environment focused on innovation and data-driven decision-making. Students will acquire competencies in data analysis, visualization, and automation, preparing them for future professional challenges in data, business, and strategy domains.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
