Summary
Matthew Schwartz is a data and business analyst with 12 years of experience blending statistical analysis, visualization, and PMO-driven process improvement across sports, media, and transportation sectors. He currently drives analytics at Fanatics after leading BI and audience intelligence efforts at the Houston Texans and GroupM, where he built Python pipelines, Tableau reporting, and media mix models that informed campaign and capital planning decisions. Comfortable translating complex datasets into actionable recommendations, he has overseen portfolio-level financial analysis for $80M+ IT project portfolios and improved PMO tooling and frameworks. Matthew pairs formal training in applied economics and data science with hands-on coding in Python, SQL, and Excel, and is known for launching analytics initiatives that surface non-obvious optimization opportunities. Based in Austin, he combines technical rigor with stakeholder-facing storytelling to turn analytics into operational impact.
12 years of coding experience
2 years of employment as a software developer
Data Science Bootcamp, Data Science Bootcamp at Flatiron School
Master's of Science (M.S.) Applied Economics, Master's of Science (M.S.) Applied Economics at University of Maryland