Lead Data Analyst, Growth & Experimentation

LawnStarter

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

Posted 10/6/2026full-timeRemote • BrazilSenior💰 $75,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for statistical analysis and experimentation, with a strong understanding of growth metrics, conversion rates, and data modeling. Capable of designing and executing tests while maintaining high standards of instrumentation quality and automation.

Highest-signal resume keywords

Expert SQLPython AutomationTest Design KnowledgeCAC and LTV AnalysisLightdash and dbt Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData ModelingExperiment DesignConversion Rate OptimizationAttribution Analysis

Soft Skills

Influencing Without AuthorityClear Communication

Tools & Technologies

LightdashDbtSegmentFlagsmith

Industry Keywords

Growth AnalyticsExperimentation ProgramAcquisition-to-Conversion FunnelAutomated MonitoringAI-Driven Experimentation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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