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Job Summary: Internship in Customer Intelligence to transform product and market data into actionable insights and improve digital services. Key Highlights: 1. Develop competencies in data analytics applied to digital services 2. Learn to use tools such as SQL, Python, Power BI, and Google Analytics 3. Participate in learning about analytical models and machine learning Telefónica Innovación Digital S.L.U. **Madrid** (Madrid) T/2026/49987 **What does the company offer?** --------------------------- * **1** internship position at Telefónica Innovación Digital S.L.U. for **6 months**, starting in **June 2026** * Monthly gross stipend of **850.00€** * 5 hours per day, morning shift * Hybrid remote/in-person internship * START program * Internship center in Spain: Ronda de la Comunicación s/n, Distrito Telefónica Edificio Oeste 1, 8th floor, Madrid (Madrid) **What profile is the company seeking?** --------------------------------- * **University undergraduate or master's student:** Bachelor’s degree in Computer Engineering or Computer Science * **Language skills:** English level B2 **Proposed Training Plan** ------------------------------- Telefónica is a global telecommunications and technology company that connects people, businesses, and communities through state-of-the-art networks and advanced digital solutions in areas such as cloud, artificial intelligence, IoT, and cybersecurity. The information provided in this offer highlights its commitment to innovation serving society and responsible digital transformation. The internship will be conducted within the **Customer Intelligence** area, under the scope of **Digital Home Services**. This team contributes to transforming product and market data into useful knowledge to better understand end-user needs, support commercial decision-making, and foster continuous improvement of digital services. The department works with advanced analytics, insight generation, and analytical modeling, collaborating cross-functionally with various organizational teams. Training objectives of the internship During the internship, students will be able to: * Learn how to analyze product and market data sources to draw relevant conclusions. * Develop competencies in data analytics applied to improving digital services. * Gain familiarity with tools such as **SQL, Python, Power BI, Google Analytics, and the R programming language** in a real business environment. * Participate in learning about analytical models and techniques related to machine learning. * Understand how insights are generated to support commercial and product decisions. * Strengthen communication, organization, and collaborative skills when working with multidisciplinary teams. * Apply analytical thinking and attention to detail in projects related to digital transformation. Training activities The intern will collaborate—always with guidance and supervision—in the following activities: * Supporting data analysis and insight generation related to digital home services. * Learning data source management and analysis for product and market data. * Collaborating in preparing analyses that contribute to commercial and product decisions. * Participating in the development and implementation of analytical and machine learning models. * Supporting interpretation of information to contribute to data-driven continuous improvement strategies. * Participating in cross-functional teamwork dynamics across various organizational units. Mentorship and follow-up The selected candidate will be supported by an experienced company mentor who will facilitate integration into the team and guide learning throughout the internship. Training objectives will be established at the beginning of the experience, progress will be reviewed periodically, and continuous feedback will be provided to reinforce the development of technical, analytical, and transversal competencies. Student Profile: Valued Competencies and Knowledge * Interest in business- and product-development-oriented data analysis. * Analytical thinking and ability to learn. * Organization, attention to detail, and proactive attitude. * Communication and collaboration skills. * Knowledge of **SQL**. * Knowledge of **Python**. * Experience with or interest in visualization tools such as **Power BI**. * Knowledge of **Google Analytics**. * Interest in the **R programming language**, analytical models, and machine learning. Languages * Spanish: high proficiency or native. * English: B2 level preferred. Training Value This internship represents an opportunity to develop data analysis competencies within a global technology company, applying academic knowledge to real-world projects related to digital services, advanced analytics, and digital transformation. The experience will allow students to strengthen their technical profile, learn from specialized teams, and prepare for future professional challenges in the fields of data science and business intelligence. Regulatory Compliance Note This offer has been drafted with an **exclusively training-oriented focus**, in accordance with the regulatory framework for external academic internships established by **Royal Decree 592/2014** and **Royal Decree 822/2021**. The described activities must be carried out under tutorial supervision, linked to the university’s training program, and must not replace core responsibilities inherent to an employment position. Certified company as "Youth Talent Promoting Company". 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