[Hiring] Lead Product Data Analyst @LawnStarter

Role Description

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

You'll work with the autonomy of a Lead: setting your own standards, working independently, and acting as a trusted thought partner rather than an order-taker. That title isn't about managing people, there's no team attached to it. It's about the bar you hold your own analysis to, and the bar you help everyone around you reach.

This role leans toward the Pro (supply) side of our marketplace, though the exact focus flexes with where the business needs the most insight.

What You'll Own

• Modeling & Analysis: A marketplace is a complex system, with many moving parts and often contradicting signals. Analyses range from a simple A/B test to a multivariate model on retention or ETA, backed by advanced SQL and intermediate Python or R.
• Reporting: You'll understand the needs of the teams you work with and help create and maintain the reporting system, keeping it organized and easy to act on.
• Analytics Engineering: Occasionally you'll work in the inner layers of the Data Warehouse to provide clean, documented datasets that power our reports and end users. We use dbt for transformation, so SQL is a must.

Problems to Solve

• Metrics nobody fully trusts.
• Analysis that ships but doesn't move anything.
• Data that's hard for anyone but an analyst to touch.
• A system with too many moving parts and not enough signal.

What Success Looks Like (Year 1)

• The metrics teams rely on daily are trusted, documented, and current.
• Routine questions are self-serve: stakeholders find their own answers in existing reports.
• You can name specific decisions your analysis changed.
• The datasets and models you've built in dbt are clean and documented enough that other analysts build on them without redoing your work.

Who You Are

• AI-Native: You use AI tools daily to move faster.
• Learning Mindset: You take pride in understanding problems deeply.
• Sets the Bar: You work autonomously and hold your own analysis to a high standard.
• Team Player: You create an environment where people are excited to work with you.
• Business Focus: You care deeply about understanding business needs.
• Bias for Action: You actively avoid being a perfectionist.

This Role Is NOT

• A ticket queue.
• A dashboard-admin seat.
• A people-management role.
• A role that waits for perfectly clean data.

Tools of the Trade

• SQL and dbt for transformation and modeling.
• Python or R for the occasional statistical deep dive.
• Lightdash as our primary BI layer for dashboards and self-serve reporting.

Salary and Benefits

• Base salary: $75,000–$100,000 USD annually.
• AI tooling provided: The Claude routines already running pieces of our experimentation process are yours to extend.
• Fully remote: This is deep-focus analytical work with US-facing partners.
• Flexible PTO: Measured on outcomes, not hours logged.

VERY IMPORTANT REMINDER: Please upload your English resume. Applications without it will not be considered.