Data Analyst

About Zero Homes

Our mission is to rebuild American communities through healthy, affordable homes.

At Zero Homes, we operate on a simple premise: when you make contractors successful, homeowners win. The current home services industry is fragmented, complex, and opaque, which is frustrating for homeowners and exhausting for contractors. We are changing this by building a home upgrade marketplace that enables a simple, central, transparent process for homeowners and contractors to complete projects.

Through our platform we handle design, quoting, procurement, and customer service, allowing our contractor network to focus on what they do best and make them money: delivering projects. For homeowners, this delivers a predictable, high-quality, and transparent experience, transforming home upgrades from a source of anxiety into a seamless experience. Our vision is to create a world where homeowners and contractors in all 50 states can leverage our platform to execute thousands of projects every week within the next 36 months.

We work by a clear set of values:

• Be a "can kid," not a "can't kid": We own our outcomes and go to extraordinary lengths to solve problems.

• Go fast, be clear: Speed is our advantage, and we sweat the details to deliver an extraordinary customer experience.

• Customer & Contractor Obsessed: We have a deep, personal understanding of the work to be done. We stay curious about our contractors' craft and the stories of our homeowners.

• Win, as a team: We are building an iconic business that will reinvent the industry, and will do so together.

If you are ready to build a world-class consumer experience that genuinely rebuilds American communities, come build with us.

About the Role & Your Impact

We're looking for a Data Analyst to build the foundation the rest of the company thinks on. Reporting to the Sr. Manager of Business Operations, you'll turn the data flowing through every part of Zero (sales, marketing, fulfillment, supply chain, and finance) into trusted, queryable, reusable datasets and the analysis that runs on top of them.

Today our data lives in a lot of places: HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is to fix that at the root, then use it: model the data properly, make it accessible, and do the analysis that turns it into decisions. You'll be the person the team trusts when the number matters.