Senior Data Analyst – Marketing

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Take charge of the comprehensive marketing measurement strategy encompassing experimentation, media mix modeling, and attribution for both paid and PLG channels.

• Develop and refine the attribution framework that integrates platform data, multi-touch attribution, MMM, and experimental results.

• Convert measurement results into recommendations regarding investment, budget, pipeline, revenue, and efficiency.

• Inform stakeholders about causality, model uncertainty, and the limitations of platform-reported metrics.

• Create and execute user-level and geo-level incrementality tests.

• Compute incremental lift, incrementality percentage, and incremental ROAS/CPA.

• Develop templates and playbooks for experiment analysis.

• Collaborate with owners of paid search, paid social, lifecycle, website, and SEO channels to formulate experimentation roadmaps.

• Create and maintain media mix models to assess channel contributions, marginal returns, and optimal budget distribution.

• Factor in seasonality, adstock, and saturation effects, and validate models through backtesting and experiment reconciliation.

• Transform MMM insights into budget scenarios and forecasts for channels and regions.

• Establish metric definitions, model documentation, and reusable self-service analytics patterns.

• Utilize AI tools to expedite analysis and implement AI-forward marketing practices.

• Identify and resolve marketing data tracking, expenditure, and platform-export issues at their source.

⛳️ Requirements

• Over 6 years of experience in marketing analytics, data science, or a related field.

• Emphasis on performance marketing and/or PLG growth.

• Profound knowledge of marketing attribution, incrementality testing, and media mix modeling.

• Advanced SQL proficiency.

• Skilled in Python or R for conducting experiment analysis and modeling.

• Experience in designing, executing, and interpreting digital marketing experiments across various channels such as search, social, display, email, and in-product.

• Familiarity with building or closely collaborating on MMM and/or advanced attribution models.

• Strong business acumen with fluency in CAC, LTV, payback period, conversion rates, and funnel performance.

• Capability to create self-service tools and scalable analytics frameworks.

• Ability to merge technical insights with strategic context.

• Regularly utilize LLMs and AI tools, understanding their influence on analyst work.

• Proficient in conveying causal analysis to non-technical stakeholders.

• Capacity to excel in asynchronous, autonomous work environments.

🏝️ Benefits

• Fully remote work options.

• WeWork membership or co-working allowance applicable globally.

• ESOP/equity ownership available for every team member.

• Tech allowance for laptops, monitors, headphones, or other necessary equipment.

• Supabase covers 100% of employee health insurance and 80% for dependents.

• Annual company off-site events.

• Flexible, asynchronous working conditions.

• Annual allowance for education/professional development to cover courses, books, conferences, or other learning opportunities.