Description
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 will work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue.
Marketing Measurement Strategy
- Develop and implement 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.
- Translate complex measurement outputs into clear recommendations.
- Serve as the subject matter expert for marketing measurement.
Incrementality and Experimentation
- Design and run always-on incrementality tests.
- Calculate incremental lift, incrementality percent, and incremental ROAS/CPA.
- Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts.
- Partner with channel owners to build and prioritize an experimentation roadmap.
Media Mix Modeling and Forecasting
- Build and maintain media mix models.
- Incorporate seasonality, adstock, and saturation effects.
- Turn MMM insights into budget scenarios and forecasts.
Context, Tooling, and Data Integrity
- Own and build the context and skills that let marketing teams run accurate self-serve analytics.
- Use AI tools as a core part of daily work.
- Identify gaps and inconsistencies in marketing data and work cross-functionally to fix them.
Requirements
- 6+ years in marketing analytics, data science, or a related role.
- Deep understanding of marketing attribution, incrementality testing, and media mix modeling.
- Advanced in SQL and at least one statistical programming language (Python or R).
- Hands-on experience designing, running, and interpreting experiments.
- Strong business acumen and fluency in growth metrics.
Nice to Haves
- Experience in BaaS, DevRel or open source dev tool companies.
- Experience with applied econometrics, time-series modeling, or Bayesian methods.
- Familiarity with common marketing and analytics tools.
What We Offer
- Fully Remote
- ESOP
- Tech Allowance
- Health Benefits
- Annual Off-Sites
- Flexible Work
- Professional Development