Senior Data Analyst - Marketing

Responsibilities

Marketing Measurement Strategy

• 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 spanning platform data, multi-touch attribution, media mix modeling, and experiments.
• Translate measurement outputs into recommendations on investment, budget cuts, pipeline, revenue, and efficiency targets such as CAC, payback, and LTV to CAC.
• Educate stakeholders on causality, model uncertainty, and limitations of platform-reported metrics.

Incrementality and Experimentation

• Design and run always-on user-level and geo-level incrementality tests.
• Calculate incremental lift, incrementality percentage, and incremental ROAS/CPA.
• Build repeatable experiment design, analysis, and readout templates and playbooks.
• Partner with paid search, paid social, lifecycle, website, and SEO owners on an experimentation roadmap.

Media Mix Modeling and Forecasting

• Build and maintain media mix models to estimate channel contribution, marginal returns, and optimal budget allocation.
• Incorporate seasonality, adstock, and saturation effects.
• Validate model performance through backtesting and reconciliation with experiment results.
• Turn modeling insights into budget scenarios and channel and regional forecasts.

Context, Tooling, and Data Integrity

• Build metric definitions, model documentation, and reusable analysis patterns for self-service marketing analytics.
• Use AI tools to accelerate analysis and establish AI-forward practices across marketing.
• Identify and resolve gaps and inconsistencies in tracking, spend, and platform-export data.

Requirements

• 6+ years of experience in marketing analytics, data science, or a related field, focused on performance marketing and/or PLG growth.
• Deep understanding of marketing attribution, incrementality testing, and media mix modeling.
• Advanced SQL and proficiency in Python or R.
• Hands-on experience designing, running, and interpreting experiments across search, social, display, email, and in-product marketing channels.
• Experience with media mix modeling and/or advanced attribution models.
• Strong business acumen and fluency in CAC, LTV, payback period, conversion rates, and funnel performance.
• Ability to build scalable self-service tools and frameworks.
• Ability to combine technical and strategic context, including model residuals and budget tradeoffs.
• Habitual use of LLMs and AI tooling.
• Clear communication with non-technical stakeholders.
• Ability to work asynchronously and autonomously.

Nice to Have

• Experience in BaaS, DevRel, or open-source developer-tool companies.
• Experience with applied econometrics, time-series modeling, or Bayesian methods.
• Familiarity with Google Ads, Meta, LinkedIn, web analytics, CDPs, and BI or visualization tools.

Compensation and Benefits

• Fully remote work with a WeWork membership or coworking allowance.
• ESOP equity ownership.
• Tech allowance.
• Health insurance coverage of 100% for employees and 80% for dependents.
• Annual company off-sites.
• Flexible asynchronous work.
• Annual professional development allowance.