Summary
Carlos Peña is a Senior Business Analyst who turns complex last-mile logistics problems into scalable, data-driven solutions at Amazon Logistics, blending Business Intelligence, Python development, and AWS expertise. Over six years he has led cross-functional initiatives that improved delivery station efficiency, optimized routing across EU operations, and automated reporting that reclaimed 100+ manual hours weekly. Trained in industrial technologies engineering and data science, he couples analytical rigor with hands-on tooling to build reusable data models and BI platforms that support sustainability goals in urban logistics. He mentors teams to boost data literacy and embeds automation into operational workflows, often surfacing non-obvious process bottlenecks through bespoke analytics. Based in Madrid, Carlos brings a pragmatic balance of technical implementation and strategic thinking, with a GitHub presence that reflects his focus on practical data solutions.
6 years of coding experience
University of Seville
Master's degree Data Science, Master's degree Data Science at KSchool
Bachelor's degree Industrial Technologies Engineering, Bachelor's degree Industrial Technologies Engineering at Luleå University of Technology
Spanish, English