Data Analyst

• Own experimentation rigor across web funnels, SMS/drip, sales-driven tests, and SEO tests
• Design tests and make power, sample-size, significance, and readout-standard decisions
• Catch underpowered tests and false positives before they drive bad decisions
• Extend automated Growth metrics in Lightdash, Python-backed statistical-significance tooling, and Claude routines
• Build and maintain a trusted acquisition-to-conversion funnel across brands and paid, organic, and partner channels
• Provide CAC, LTV, and conversion-rate analyses for Growth investment prioritization
• Establish Year 1 standards and a playbook for scaling the Growth analytics function
• Recommend whether to buy or build the experimentation stack
• Partner directly with the Director of CRO, performance marketing, and Growth PMs
• Deliver analysis that drives quantified conversion lifts and push back when data contradicts popular ideas

Lead Data Analyst, Growth & Experimentation

• Deliver insights and reports that support product prioritization, assessments, and business recommendations
• Perform marketplace analyses ranging from A/B tests to multivariate models on retention or ETA
• Use advanced SQL and intermediate Python or R for modeling and analysis
• Create and maintain trusted, organized, actionable reporting systems and dashboards
• Build clean, documented datasets in the data warehouse using dbt
• Resolve conflicting metrics and establish trusted definitions
• Enable stakeholder self-service through reports, datasets, documentation, and training
• Identify decisions changed by analysis and drive stakeholders to act on findings
• Collaborate with product managers, researchers, and business stakeholders, primarily on the Pro/supply side of the marketplace
• Nurture a data-driven culture across the company

Lead Product Data Analyst

• Deliver insights and reports that influence product prioritization, assessments, and business recommendations
• Partner with product managers, researchers, and business stakeholders
• Model and analyze marketplace data, including A/B tests and multivariate models
• Identify gaps, insights, optimizations, and drivers of key metrics
• Create and maintain trusted, organized, actionable reporting systems and dashboards
• Develop clean, documented datasets and models in the data warehouse using dbt
• Define, document, and standardize metrics across teams
• Enable stakeholder self-service through reports, datasets, documentation, and training
• Nurture a data-driven culture across the company
• Work primarily on the Pro/supply side of the marketplace