LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.
We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.
As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. 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.
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.
Modeling & Analysis: 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.
A dashboard is only as good as our trust that it's correct and current. 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.
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.




Untangling that and giving the business one number it can stand behind is core to the job.
Analysis that ships but doesn't move anything. Getting a stakeholder to actually act on what you found is the hard part, not the SQL.
Data that's hard for anyone but an analyst to touch. If every question requires filing a ticket and waiting on you, you haven't built a data-driven culture, you've built a bottleneck.
Supply, demand, pricing, and service quality all interact. You can name specific decisions your analysis changed, not just analyses you delivered.
The datasets and models you've built in dbt are clean and documented enough that other analysts build on them without redoing your work.
AI-Native: You use AI tools (Claude, ChatGPT, Copilot, and similar) daily to move faster: drafting and debugging SQL and dbt models, scripting analysis, and shaping reports, and you keep experimenting with new capabilities as they show up. Sets the Bar: As a Lead, you work autonomously, hold your own analysis to a high standard, and raise the bar for the people around you, whether or not they report to you. Business Focus: You care deeply about understanding business needs and how your analysis connects with our product, customers, and financials. This is unlikely to be a good fit if you're happiest doing analysis for its own sake, disconnected from a decision it will drive.
You're not here to pull numbers on demand, you decide what's worth measuring and how to measure it.
Maintaining BI tooling is part of the job, not the point of it. A people-management role. A role that waits for perfectly clean data. If you need data handed to you pre-cleaned before you can start, this isn't the right seat, you're expected to get your hands into the warehouse.
SQL and dbt for transformation and modeling, Python or R for the occasional statistical deep dive, and Lightdash as our primary BI layer for dashboards and self-serve reporting.
The Claude routines already running pieces of our experimentation process are yours to extend, not a side project you have to justify.
Fully remote:

📌 Lead Product Data Analyst (Ciudad de México)
🏢 Lawnstarter
📍 Ciudad de México