Senior Product Data Analyst - Remote Eligible

Senior Product Data Analyst

Senior Product Data Analyst

As a Sr. Product Data Analyst, you'll be directly impacting our results through insights and reports. You'll be working close to product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. It will be your responsibility, alongside the Analytics team, to nurture the data-driven culture within the company, making data easier to consume, be it through interactive reports, easy-to-use datasets, documentation, training.

Help Us Build the Future of Outdoor Services

At LawnStarter, we're transforming the $100B+ outdoor home services industry—making it easier for homeowners to book, manage, and enjoy services like lawn care, landscaping, and more. With $30M+ in venture funding and solid traction, we're investing in the next generation of our platform—and we're looking for a Senior Product Data Analyst to help drive it.

Problems to be solved

Your primary responsibility will be to empower our organization to be more data-driven, and there are many ways to accomplish that, such as:

• Modeling & Analysis: A marketplace is a complex system, with various moving parts and often contradicting signals. That creates an extremely exciting pool of opportunities to find gaps, insights, or optimizations. The analysis and models we need have different degrees of complexity, from simple AB tests to multivariate models on retention or ETA. We expect you to have advanced experience in SQL and intermediate experience in Python or R.
• Reporting: If a complex system creates an exciting pool of opportunities, it also creates a high number of metrics that we need to keep track of to run the business efficiently. However, a dashboard is only as good as our trust in being correct and updated. It's your responsibility to understand the needs of the teams you'll be working with and help the Analytics team create and maintain our reporting system, keeping it organized and user-friendly. For that, you'll be mainly using Tableau and Metabase.
• Analytics Engineering: Although it won't be your main focus, occasionally, you will need to work on the inner layers of our Data Warehouse to provide clean and documented datasets to empower our reports and end users within the organization. Understanding the business needs and consolidating them into our DW is crucial to maintaining a reliable single source of truth. We use DBT for the data transformation, so SQL experience is a must.