Summary
Henry Wong is a Staff Data Analyst with eight years of experience turning statistical rigor into measurable business impact across ecommerce, media, and finance. He has led analytics teams and built repeatable experimentation and forecasting processes that helped a company quadruple revenue run rate and reduced hiring inefficiencies through timely alerts and ROI-focused analysis. Comfortable mentoring stakeholders of all technical levels, he consistently elevates data literacy while enforcing data integrity and minimizing analytics technical debt. His background spans trading, quantitative research, and production analytics—from creating backtested trading models sold to hedge funds to designing A/B testing frameworks for product and marketing. Based in New York with an M.S. in Statistics from Harvard, he blends creative, out-of-the-box insight discovery with disciplined, reusable tooling that surfaces trends others miss. Despite calling himself a "rookie" on GitHub, his track record shows deep applied expertise in turning complex data into actionable decisions.
8 years of coding experience
12 years of employment as a software developer
Master’s Degree Statistics, Master’s Degree Statistics at Harvard University
Bachelor’s Degree Mathematics Quantitative Economics and Psychology, Bachelor’s Degree Mathematics Quantitative Economics and Psychology at Tufts University