.Location: Barcelona (on-site)Join us at AstraZeneca's Biopharmaceuticals Business Unit (BBU) where we turn ideas into life changing medicines. We're passionate about the potential of science to address the unmet needs of patients around the world. We commit to those areas where we believe we can really change the course of medicine and bring big new insights to life. Our Vision for Global Sales & Operational Excellence is to support our BBU Ambition with a relentless focus on securing launch excellence, future proofing the BBU with elevated world class Sales Force Effectiveness (SFE) capabilities and enabling transforming patient care.Team overview:In our ever-changing environment the importance of finding a blend between innovation and new ways of working while keeping focus on the core principles for impactful interactions with our external customers is more important than ever. In short, strong SFE capabilities are at the core of this and will secure the long-term success for the BBU and AZ overall.The Global Sales & Operational Excellence team forms part of Global Insight & Business Excellence, playing a critical role in defining the roadmap for future success. Ensuring that the required SFE capabilities are developed across the BBU.Our Global Sales & Operational Excellence mission is to "Inspire and build capabilities of our teams to deliver outstanding field impact, which change clinical practice, improve patient outcomes, and drive growth for our brands".Main accountabilities:Conduct in-depth analysis of EUCAN resource allocation data to identify trends, patterns, and opportunities for improvement.Build and refine predictive models to forecast ROI and resource allocation dynamics, extract meaningful insights from large-scale datasets, identify patterns and predict outcomes across multiple brands and countries.Provide accurate and insightful data analysis to support ComOps diagnostic projects, use visualisation tools and techniques to provide user friendly insight to help answer specific questions.Manage ComOps data, create and maintain pipelines for data processing, analysis, and visualization, ensuring reproducibility and scalability.Collaborate closely with GIBEX and EUCAN countries to design and implement resource allocation strategies, present findings, share methodologies and contribute to project discussions.Contribute to the design and optimization of ComOps projects, ensuring the collection of high-quality data for analysis.Education/SkillsData Science Expertise: Proven expertise in advanced data analytics, statistical modelling, machine learning, and data manipulation.Programming Languages: Proficiency in Python and related data science libraries and frameworks (e.G. NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).SQL Proficiency: Solid skills in querying and manipulating data from relational databases.Data Modelling: Experience in designing and creating optimal data models to streamline ComOps data