Marketing Analyst / Data Scientist (SEO & Marketing Analytics)

Proficient in Python (pandas, numpy, statsmodels) or R Experience with massive datasets (TB scale) Strong SQL skills Statistical foundations: experimental design, hypothesis testing, regression analysis, time series basics Experience with A/B testing or incrementality testing (minimum 10+ tests executed) Familiarity with causal inference methods (synthetic controls, matched markets, difference-in-differences, causal impact) Experience with BI platforms (Looker, Tableau, Mode, or similar) Version control using Git/GitHub 4+ years analyzing digital marketing performance (SEO, paid search, e-commerce, or similar channels) Hands-on experience executing tests at volume Understanding of e-commerce metrics, conversion funnels, and attribution Client-facing or embedded team experience

Execute incrementality tests using causal impact frameworks Run multiple tests per week for SEO initiatives Design and analyze matched market experiments Implement statistical power analysis for test design Translate test results into actionable recommendations Monitor SEO performance metrics Build repeatable analytical workflows Document methodologies for knowledge transfer