Lead Data Analyst, Growth & Experimentation

🔥 11 minutes ago

🇧🇷 Brazil – Remote

💵 $75k - $100k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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, and establish significance and readout standards • Catch underpowered tests and false positives before they drive bad decisions • Extend anytime-valid monitoring, automated daily SRM and attribution health checks, and AI-driven experimentation tooling • Build automated Growth metrics in Lightdash and Python-backed statistical-significance tooling • Build and maintain the acquisition-to-conversion funnel model across brands and paid, organic, and partner channels • Provide CAC, LTV, and conversion-rate analyses to guide investment prioritization • Develop a scalable Growth analytics standards and playbook by the end of Year 1 • Recommend whether to buy or build the experimentation stack • Partner directly with the Director of CRO, performance marketing, Growth PMs, and the CEO on experiment design and decisions • Deliver analyses that drive quantified conversion improvements • Maintain instrumentation quality and keep experimentation automation correct as product and tracking evolve

🎯 Requirements

• Expert SQL • Enough Python to automate statistical-significance calculations • Comfort with dbt and Lightdash • Ability to build data models independently without waiting on data engineering • Knowledge of test design, including power, significance, novelty and interaction effects, and when not to test • Experience with Segment events and Flagsmith randomization • Understanding of CAC, LTV, conversion rates, attribution messiness, seasonality, and channel mix • Ability to use AI daily for SQL, dbt, and analysis pressure-testing • Ability to influence PMs and marketers without formal authority • Ability to explain broken experiments and uncertainty clearly • Individual-contributor orientation; this is not a people-management role

🏖️ Benefits

• Base salary: $75,000–$100,000 USD annually • AI tooling provided: Claude routines already running pieces of the experimentation process • Fully remote work • Flexible PTO • Outcome-focused work measured by results rather than hours logged