Senior Data Analyst - Marketing

Responsibilities

• Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels
• Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC)
• Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics
• Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams
• Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy
• Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation
• Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards
• Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream
• Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation

Languages