LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, allowing hundreds of thousands of customers nationwide to book a service with the tap of a button. But lawn care is only the beginning - our vision is to become the one-stop shop for all home services.Our company is flourishing at an incredible pace, profitable and achieving remarkable success. And we're not stopping there! We're actively seeking talented and hard-working individuals like you to join our team and help us achieve our ultimate vision.Sr. Data AnalystAs a Sr. Data Analyst, you'll be directly impacting our results through insights and reports. You'll be working closely with 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 through interactive reports, easy-to-use datasets, documentation, and training.Problems to be solvedYour 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 exciting pool of opportunities to find gaps, insights, or optimizations. The analysis and models we need range 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: A complex system creates a high number of metrics that we need to track to run the business efficiently. However, a dashboard is only as good as our trust in its correctness and timeliness. 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. 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 business needs and consolidating them into our DW is crucial to maintaining a reliable single source of truth. We use DBT for data transformation, so SQL experience is a must.
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