Summary
Nicholas Anderson is a data-driven workforce strategist and technical program manager with a decade of experience helping Fortune 100 companies translate analytics into strategic workforce decisions. He blends rigorous statistical training (PhD-level measurement & applied statistics) with hands-on data engineering—leading Mercer’s 40-person transition to Databricks and building ETL pipelines and cloud architectures on AWS and Azure. As an adjunct at Columbia, he teaches causal inference, machine learning, and practical software skills, and has published applied research featured in Harvard Business Review and academic journals. Nicholas excels at tailoring technical narratives to diverse audiences, turning complex causal and predictive models into actionable business insights for pay equity, DEI, and long-range workforce planning. He pairs a scientific curiosity with product instincts—having launched a revenue-generating HR Analytics Maturity Assessment and client-facing labor-market forecasting tools. Based in New York, he’s now scaling workforce analytics and technical programs at AWS while continuing to bridge academia, consulting, and cloud engineering.
10 years of coding experience
10 years of employment as a software developer
Master of Arts, Political Science, specializing in International Relations, Master of Arts, Political Science, specializing in International Relations at New York University
Doctor of Philosophy (PhD), Measurement, Evaluation, and Applied Statistics, Doctor of Philosophy (PhD), Measurement, Evaluation, and Applied Statistics at Teachers College of Columbia University
Bachelor of Arts, Economics, Political Science, International Relations, Spanish, Bachelor of Arts, Economics, Political Science, International Relations, Spanish at Boston University
Latin, Italian, Spanish