Lead Product Data Analyst

LawnStarter

. Deliver insights and reports that influence product prioritization, assessments, and business recommendations .

Posted 11/2/2026full-timeRemote • Mexico, Peru, Colombia, UruguaySenior💰 $75,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced SQL, Python or R, and A/B testing to deliver actionable insights and reports that drive product and business decisions. Proficient in creating and maintaining dashboards and reporting systems while fostering a data-driven culture through effective collaboration with stakeholders.

Highest-signal resume keywords

Advanced SQLA/B TestingData Transformation Using dbtDashboard Creation and MaintenanceBusiness-Focused Analytical Approach

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced SQLIntermediate PythonIntermediate RA/B TestingMultivariate ModelingRetention AnalysisETA AnalysisDashboard CreationData Warehouse ManagementData Documentation

Soft Skills

Autonomous WorkCollaborationThought PartnershipCommunication

Tools & Technologies

DbtAI ToolsClaudeChatGPTCopilot

Industry Keywords

Data-Driven CultureMarketplace AnalysisSelf-Serve ReportingTrusted MetricsStakeholder Engagement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Deliver insights and reports that influence product prioritization, assessments, and business recommendations
Partner with product managers, researchers, and business stakeholders
Nurture a data-driven culture through interactive reports, self-serve datasets, documentation, and training
Conduct marketplace analyses, including A/B tests and multivariate models on retention or ETA
Create and maintain trusted, organized, actionable dashboards and reporting systems
Build clean, documented datasets and models in the data warehouse using dbt
Define and standardize trusted metrics across teams
Enable stakeholders to answer routine questions through self-serve reporting
Identify decisions changed by analysis and connect metrics to business, product, customer, and financial outcomes
Act as an autonomous individual contributor and trusted thought partner without people-management responsibilities

Requirements

What you’ll need

Advanced SQL
Intermediate Python or R
Experience with A/B testing and multivariate modeling
Experience with retention or ETA analysis
Experience creating and maintaining dashboards and reporting systems
Experience with dbt for data transformation and modeling
Ability to create clean, documented datasets in a data warehouse
Daily use of AI tools such as Claude, ChatGPT, or Copilot
Ability to work autonomously as a trusted thought partner
Ability to collaborate with product managers, researchers, and business stakeholders
Business-focused analytical approach
English resume required
Ability to work with US-facing partners and overlap hours

Benefits

Comp & perks

AI tooling provided, including Claude routines and other AI experimentation tools
Fully remote work
Flexible PTO measured on outcomes rather than hours logged