Lead Data Analyst, Growth & Experimentation

🔥 11 minutes ago

🌐 Mexico, Peru, +2 more countries – Remote

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💵 $75k - $100k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Logo of LawnStarter

LawnStarter

51 - 200 employees

Founded 2013

👥 B2C

🏪 Marketplace

🏠 Real Estate

💰 $10.5M Venture Round on 2019-11

B2C • Marketplace • Real Estate

LawnStarter is a service platform that provides affordable lawn care services at the click of a button. With fast online ordering, quality service, and a user-friendly app, LawnStarter allows customers to easily schedule and manage lawn maintenance services. These include lawn mowing, fertilization, bush trimming, and weeding. The company partners with local professionals to ensure reliable and insured services while supporting small businesses. LawnStarter offers its services across numerous locations in the United States, aiding customers in keeping their lawns beautiful and well-maintained.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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