The opportunity
We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past…
What you'll do
Own the end-to-end marketing measurement strategy across experimentation,: media mix modeling, and attribution for paid and PLG channels
Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions
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)
Serve as the subject matter expert for marketing measurement, educating: stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics
Design and run always-on incrementality tests, user-level and geo-level, to: quantify the causal impact of key channels, campaigns, and tactics
Calculate incremental lift, incrementality percent, and incremental ROAS/CPA,: and use these to guide budget reallocation
What they're looking for
- 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
- Incorporate seasonality, adstock, and saturation effects, and continuously: validate model performance through backtesting and reconciliation with experiment results
