Summary
Emily Taylor is a Head of Data Analytics based in Berlin with over a decade of experience turning messy real-world data into actionable insights using Python, R, SQL and BigQuery. She has progressed from hands-on research and data engineering—normalising datasets of millions of parts and building production pipelines—to leading metrics, models and analytics teams at CDP. Trained as an MEng and PhD researcher in materials science, she blends rigorous scientific thinking with pragmatic product focus, routinely translating stakeholder questions into reproducible, auditable analyses. Emily is comfortable across the full analytics lifecycle: data design, statistical modelling, quality control and clear visual storytelling for non-technical audiences. She’s known for establishing robust data processes (including QC and batch processing) and becoming the go-to extractor for complex BigQuery workflows, and she actively seeks collaborative teams where she can learn and apply new methods.
10 years of coding experience
13 years of employment as a software developer
PhD, Atomistic Simulations of Radioactive Tolerant Materials, PhD, Atomistic Simulations of Radioactive Tolerant Materials at Imperial College London
Spanish, English, French, German