Internship: Business Analytics, Business Administration and Management, Engineering, Economics, Data Science in Madrid

Description

PHILIP MORRIS SPAIN **Madrid** (Madrid) T/2026/50603 **Apply now for an internship scholarship at PHILIP MORRIS SPAIN in its GBS department****What does the company offer?** --------------------------- * **1** internship position at PHILIP MORRIS SPAIN for **6 months**, starting in **September 2026** * Monthly gross stipend of **944.00€** * 7-hour daily full-time schedule * Internship location in Spain: C/ José Lazaro Galdiano, 6 Madrid (Madrid) * The scholarship includes enrollment in the Nebrija University’s Permanent Training Master’s Program in Productivity, Adaptive Management, and Innovation **What profile is the company seeking?** --------------------------------- * **University undergraduate student missing only the Final Year Project (TFG/PFC) or university undergraduate student missing only 1 course or university undergraduate student missing only 2 courses or university undergraduate student missing only 3 courses or university graduate or university graduate with a master’s degree:** Degree in Economics, Degree in Business Administration and Management * **Higher Vocational Training (FP) graduate** **Proposed training plan** ------------------------------- Philip Morris Spain is part of Philip Morris International (PMI), a global company undergoing a business transformation that incorporates new digital, analytical, and organizational capabilities. Joining an international environment will allow you to learn how a global organization uses data, business intelligence, and planning methodologies to analyze its organizational structure and support the evolution of its operational models. About the department The intern will join an internationally scoped team focused on **strategic workforce planning and operational model design**, where they will learn how workforce, location, and cost data are used to analyze various organizational scenarios. During the internship, the intern will become familiar with areas such as **Strategic Workforce Planning, Data Governance, Business Intelligence, and Location Strategy**, developing a cross-functional perspective on the relationship among people, data, costs, locations, and corporate strategy. The experience will also provide insight into how tools such as **Power BI and automation** facilitate the analysis of large volumes of information and contribute to improving reporting processes and data quality. Training plan and activities Always under the guidance and supervision of the specialized team, the intern will have the opportunity to: * Learn how to **collect, structure, and validate data** related to workforce, locations, and costs, understanding the importance of data quality and consistency. * Become familiar with **Data Governance** methodologies, learning the criteria used to ensure data traceability, reliability, and proper usage. * Collaborate in maintaining and evolving **Power BI dashboards and reporting tools**, developing skills in information visualization and communication. * Learn how to design indicators and visualizations that facilitate interpretation of complex data and tracking of trends. * Participate in studies on different locations, collecting and structuring information regarding talent availability, costs, regulatory frameworks, and characteristics of the business environment. * Learn the methodologies used to compare locations and understand how different variables can influence the evaluation of organizational scenarios. * Become familiar with **role and location classification frameworks**, understanding their usefulness for consistently structuring and analyzing information within an international organization. * Collaborate in documenting governance processes, analytical criteria, and decision-making frameworks, developing competencies in knowledge management and process documentation. * Participate—under supervision—in **ad hoc analyses** related to workforce evolution, location suitability, and potential scenarios for optimizing the organization’s geographic footprint. * Learn how to analyze different scenarios and present key conclusions through reports and visual materials. * Participate in initiatives for **automating recurring reports**, understanding how technology can reduce repetitive tasks and improve process efficiency. * Collaborate in designing and improving data quality controls, learning how to identify inconsistencies and opportunities to enhance information reliability. * Develop a holistic understanding of how data and analytics contribute to organizational planning processes and operational model design. Training objectives linked to the DEEP Program – Master’s in Adaptive Management and Innovation Data \& Analytics Develop competencies to collect, clean, structure, analyze, and visualize information from diverse sources, transforming complex data into actionable insights. Business Intelligence and Power BI Deepen expertise in using Power BI as a tool for creating and evolving dashboards, defining key performance indicators, and visually presenting relevant information. Data-driven decision making Understand how combining information about people, costs, locations, and the business environment enables analysis of different scenarios and supports decision-making processes. Automation and productivity Learn methodologies and tools aimed at automating reporting and data quality controls, understanding their impact on process efficiency and reliability. Adaptive management Analyze how an international organization can adapt its operational models and planning approaches in response to changes in talent needs, costs, or characteristics of different markets. Process optimization Participate in initiatives aimed at improving data collection, validation, reporting, and governance processes, identifying improvement opportunities together with the specialized team. Scenario analysis Develop critical thinking through comparative analysis of different locations and scenarios, considering both quantitative and qualitative variables. Innovation and operational models Understand how data analytics, new digital tools, and strategic planning contribute to the evolution of operational models in global organizations. ‍ Mentoring and follow-up The intern will benefit from **specialized mentoring within Philip Morris Spain**, facilitating integration into the team and continuously supervising the development of training activities. Learning objectives linked to the DEEP Program will be established, and periodic progress reviews will be conducted. The intern will receive continuous feedback supporting progressive development of analytical, digital, and organizational competencies. Participation in workforce, location, cost, and optimization scenario analyses will always be **training-oriented and supervised**. Strategic recommendations, governance decisions, and organizational design decisions remain the responsibility of the respective professional teams. Candidate profile **Eligible degrees:** * Business Analytics. * Business Administration and Management. * Economics. * Industrial Organization Engineering. * Industrial Engineering. * Data Science. * Statistics. * Mathematics. * Computer Engineering. * Labor Relations and Human Resources with an analytical orientation. * Related degrees. **Valued competencies:** * Analytical ability and critical thinking. * Interest in data analysis and Business Intelligence. * Organizational skills and attention to detail. * Ability to work with multiple information sources. * Interest in strategic planning and organizational models. * Synthesis and visual communication skills. * Orientation toward continuous improvement. * Curiosity about automation and emerging technologies. * Skills to collaborate effectively in international and multidisciplinary teams. **Valued tools and languages:** * **Power BI** and data visualization tools. * Microsoft Excel. * PowerPoint. * Knowledge of data processing and analysis. * Interest in automation tools is valued. * English language proficiency to facilitate collaboration in an international environment. Training value – DEEP Program This experience will allow you to learn how an international organization uses **data, Business Intelligence, and planning methodologies** to understand the evolution of its structure, evaluate different scenarios, and design operational models adapted to business needs. Through the DEEP Program – Master’s in Adaptive Management and Innovation, the intern will develop competencies in **Data \& Analytics, Power BI, Data Governance, Automation, Data-Driven Decision Making, Process Optimization, and Adaptive Management**. Additionally, the intern will gain exposure to areas such as **Strategic Workforce Planning and Location Strategy**, understanding how variables related to talent, costs, regulation, and the business environment are combined to build international-scale analyses. Throughout the internship period, the intern will receive guidance from specialized mentors and continuous supervision and feedback, promoting progressive learning and development of analytical and digital competencies applicable to future professional challenges. Certified company as "Talent Promoting Company Jo