Senior Manager, Marketing Analytics

Overview In this role you will lead data-driven marketing analytics to inform the US business, collaborating closely with cross-functional teams and both US and UK analytics. You’ll own attribution, forecasting, and insights that shape channel strategies, site performance, and measurement frameworks. The position blends ownership with teamwork across marketing, data science, and engineering, delivering high-impact strategic recommendations in a fast-paced environment. This is a pathway to influence spend decisions and growth initiatives at scale. Compensation / Benefits Medical, dental, vision, and prescription drug coverage Short and long-term disability and life insurance 401(k) with 5% employer match Commuter benefits 25 days vacation + 10 sick days + 10 holidays Hybrid working model Responsibilities Lead and evolve the unified measurement framework, incorporating MMM, MTA, and experiments to guide spend decisions Provide high-level, actionable analysis to influence marketing strategy across channels (email, SEO, paid media)Drive site performance insights and champion Google Analytics usage with internal data Conduct deep dives into campaign and channel performance and support forecasting with finance Design, run, and interpret A/B tests and multi-variate experiments to measure multi-channel effects Collaborate with Data Science and Data Engineering to operationalize complex models and features Present strategic findings to cross-functional teams and executives Partner with agencies and vendors to map data sources and plan data collection and strategies Prioritize work plans and ensure alignment with goals across teams Key requirements 10+ years of experience as Data Analyst/Scientist/Strategic Marketing Analyst with a track record of driving business value Expert-level SQL and strong knowledge of Python or R for advanced analysis Experience across marketing channels including email, paid search, and paid media Deep domain expertise in marketing analytics, including attribution models (MMM and MTA) and LTV predictions Experience with marketing analytics systems (GA4, Salesforce, Semrush, Google Search Console)Data visualization and dashboards (Looker, Tableau); executive storytelling skills Familiarity with evolving SEO landscape and impact of AI on search engines Excellent communication and ability to translate statistics into strategic narratives for leadership Ability to challenge status quo and influence senior leadership Strong cross-functional collaboration and autonomy in a fast-paced environmentstrong communicationinfluencing without authoritycross-functional collaborationSQLPython or RMMM (Marketing Mix Modeling)