Lead Product Data Analyst

LawnStarter; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

LawnStarter is seeking a Lead Product Data Analyst to directly impact the business through insights and reports. You’ll collaborate with product managers, researchers, and stakeholders to inform prioritization and business recommendations.

Alongside the Analytics team, you’ll nurture a data-driven culture by making data easier to consume through interactive reports, reusable datasets, documentation, and training.

Responsibilities

• Modeling & analysis to uncover gaps, insights, and optimizations, using SQL and Python or R.
• Design and maintain dashboards and reports that teams can trust and act on.
• Analytics engineering to supply clean, documented datasets in the Data Warehouse.

Job description

About LawnStarter

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.

About the Team

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.

The Role

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.

What You'll Own

• Modeling & Analysis:A marketplace is a complex system, with many moving parts and often contradicting signals. That creates an exciting pool of opportunities to find gaps, insights, and optimizations. 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:A complex system produces a high number of metrics worth tracking. 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.
• Analytics Engineering:Occasionally you'll work in the inner layers of the Data Warehouse to provide clean, documented datasets that