Lead Data Analyst, Growth & Experimentation

🕒 Setembro 30

💵 $75.000 - $100.000 / ano

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

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LawnStarter

51 - 200 funcionários

Fundada em 2013

👥 B2C

🏪 Marketplace

🏠 Imobiliário

💰 $10.500.000 Venture Round em 2019-11

B2C • Marketplace • Real Estate

LawnStarter é uma plataforma de serviços que oferece cuidados com gramados a um clique. Com pedido online rápido, serviço de qualidade e um app intuitivo, a LawnStarter permite que os clientes agendem e gerenciem facilmente a manutenção do gramado. Serviços disponíveis: • Corte de grama • Adubação • Poda de arbustos • Remoção de ervas daninhas A empresa faz parceria com profissionais locais para garantir serviços confiáveis e segurados, ao mesmo tempo em que apoia pequenos negócios. A LawnStarter atende diversas localidades nos Estados Unidos, ajudando os clientes a manter seus gramados bonitos e bem cuidados.

Descrição

• 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

🎯 Requisitos

• AI-native: use AI daily for SQL, dbt, and pressure-testing analysis; extend existing experimentation skills • Statistical expertise in experiment design, power, significance, novelty effects, and interaction effects • Knowledge of Segment events and Flagsmith randomization • Experience with acquisition data, attribution, seasonality, channel mix, CAC, LTV, and funnel economics • Expert SQL • Enough Python to automate statistical-significance calculations • Comfort with dbt and Lightdash • Ability to build models independently without waiting on data engineering • Ability to influence PMs and marketers without authority • Individual-contributor role; no people management

🏖️ Benefícios

• Base salary: $75,000–$100,000 USD annually • The scope is the draw: First analyst dedicated entirely to Growth and Experimentation, with your fingerprints on how this company decides what works. • AI tooling provided: The Claude routines already running pieces of our experimentation process are yours to extend, not a side project you have to justify. • Fully remote: This is deep-focus analytical work with US-facing partners. We hire the best analyst regardless of city and trust you to manage your environment and overlap hours. • Flexible PTO: Measured on outcomes, not hours logged.

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