Lead Data Analyst, Growth & Experimentation

LawnStarter

. Own experimentation rigor across web funnels, SMS/drip, sales-driven tests, and SEO tests .

Posted 9/30/2026full-timeRemote • Mexico, Peru, Colombia, UruguaySenior💰 $75,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis and experimentation design, utilizing SQL and Python for data-driven decision-making. Capable of building and maintaining acquisition-to-conversion funnels while providing actionable insights on CAC, LTV, and conversion rates.

Highest-signal resume keywords

Statistical ExpertiseExpert SQLPython AutomationGrowth Metrics AnalysisExperimentation Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Experiment DesignStatistical SignificanceCAC AnalysisLTV AnalysisFunnel EconomicsSQLPythonDbtLightdashData Analysis

Soft Skills

Influencing Without AuthorityCollaboration

Tools & Technologies

LightdashDbtSQL

Industry Keywords

Acquisition DataAttributionChannel MixSeasonalityExperimentation Stack

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.