Lead Product Data Analyst

LawnStarter

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

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 advanced SQL and data modeling using dbt, with a strong focus on delivering actionable insights through dashboards and self-serve reporting. Capable of performing complex analyses, including A/B testing and multivariate modeling, while fostering a data-driven culture among stakeholders.

Highest-signal resume keywords

Advanced SQLIntermediate PythonA/B TestingData Transformation with dbtDashboard Creation and Maintenance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced SQLIntermediate PythonA/B TestingMultivariate ModelingData TransformationDashboard CreationData AnalysisData WarehousingRetention AnalysisETL Processes

Soft Skills

Autonomous WorkThought PartnershipBusiness-Focused AnalysisCommunicationCollaboration

Tools & Technologies

DbtLightdashAI ToolsChatGPTClaudeCopilot

Industry Keywords

Data-Driven CultureMarketplace ModelingSelf-Serve ReportingStakeholder EngagementBusiness Recommendations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Deliver insights and reports that support 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
Perform marketplace modeling and analysis, including A/B tests and multivariate models
Use advanced SQL and intermediate Python or R for analytical work
Create and maintain trusted, current, and actionable dashboards and reporting systems
Build clean, documented datasets and models in the data warehouse using dbt
Resolve conflicting metrics and establish trusted definitions
Identify analyses that influence business decisions
Enable stakeholders to answer routine questions through self-serve reporting
Analyze interactions among supply, demand, pricing, and service quality
Use Lightdash as the primary BI layer for dashboards and self-serve reporting
Act as an autonomous individual contributor and trusted thought partner without managing a team

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, Copilot, or similar
Ability to work autonomously as a trusted thought partner
Business-focused analytical approach connecting metrics to product, customers, and financials
English resume required
Willingness to work with US-facing partners and overlap hours
Ability to work independently without people-management responsibilities

Benefits

Comp & perks

AI tooling provided: Claude routines and AI tools available for experimentation and workflow support
Fully remote work
Flexible PTO
Base salary of $75,000–$100,000 USD annually