Lead Product Data Analyst
LawnStarter
Job description
About the role
LawnStarter is an on-demand marketplace for lawn care and outdoor services, expanding into home services and investing in its platform. Its team of Product Data Analysts owns the semantic layer and the metrics the business trusts. As a Lead Product Data Analyst, you will bring analytical firepower to the Pro (supply) side of the marketplace, working with product managers, researchers and other stakeholders on prioritization, assessments and business recommendations. You will also help build a data-driven culture through interactive reports, easy-to-use datasets, documentation and training. The role is autonomous: you set your own standards and act as a trusted thought partner, with no team attached.
Key responsibilities
- Run analyses from simple A/B tests to multivariate models on retention or ETA, backed by advanced SQL and intermediate Python or R
- Create and maintain reporting systems, dashboards and documentation so metrics are trusted, current and self-serve
- Occasionally work inside the data warehouse to deliver clean, documented datasets using dbt
- Help product managers and stakeholders make decisions based on evidence, and raise the bar for analysis across the team
Required profile
- Uses AI tools (Claude, ChatGPT, Copilot and similar) daily for SQL, dbt and reporting, and keeps experimenting with new capabilities
- Deeply curious, asks the right questions before jumping to conclusions, and raises the bar for others
- Individual contributor who works autonomously and collaborates well; no people management
- Bias for action, comfortable with constraints, focused on business needs and decisions
Required skills
- SQL and dbt for transformation and modeling
- Lightdash for dashboards and self-serve reporting
- Intermediate Python or R for occasional statistical work
What we offer
- Base salary of $75,000-$100,000 USD annually
- Fully remote, flexible hours with US-facing partners
- Flexible PTO measured on outcomes
- Access to AI tooling used in the experimentation process
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Published 14 minutes ago
Expires 1 month from now
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LawnStarter