Lead Data Analyst, Growth – Experimentation

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LawnStarter

WebsiteLinkedInAll Job Openings

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 the experimentation program across web funnels, SMS/drip, sales-driven tests, and SEO tests. • Design tests, make power and sample-size calls, establish significance and readout standards, and catch underpowered tests and false positives. • Extend Growth tests onto anytime-valid monitoring and ensure early decisions use crossed statistical boundaries. • Build and maintain the self-serve experimentation layer, including automated Growth metrics in Lightdash, Python-backed statistical-significance tooling, and AI skills for pre-test power calculations and live-test health checks. • Build and maintain a trusted, instrumented acquisition-to-conversion funnel from visitor to lead to customer across every brand and channel. • Provide CAC, LTV, and conversion-rate analyses to guide Growth investment prioritization. • Establish the Growth analytics function's standards and playbook by the end of Year 1. • Make a buy-versus-build recommendation for the experimentation stack. • Partner directly with the Director of CRO, performance marketing, and Growth PMs. • Deliver insights that drive decisions, challenge incorrect ideas, and quantify conversion lifts. • Work as an individual contributor without people-management responsibilities.

🎯 Requirements

• Daily use of AI for SQL, dbt, and analysis pressure-testing; willingness to extend existing AI experimentation skills. • Strong statistical expertise in experiment design, power, significance, novelty effects, interaction effects, and when not to test. • Ability to explain broken experiments and statistical concepts in plain language. • Experience with Segment events and Flagsmith randomization, including experiment instrumentation and tracking validation. • Understanding of CAC, LTV, channel economics, attribution issues, seasonality, and channel mix. • Expert SQL skills. • Enough Python to automate statistical-significance calculations. • Comfort with dbt and Lightdash. • Ability to build data models independently without waiting on data engineering. • Ability to influence PMs and marketers without formal authority. • Ability to work with US-facing partners and manage overlap hours. • Brazil-based independent contractor eligibility.

🏖️ Benefits

• Contractor engagement: Brazil-based independent contractor arrangement, standard for our Brazil-based team. No equity. • 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 (Brazil): 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.