Location: Remote - US

 

We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry!

Founded by globally-recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific and scalable solutions to the agri-food industry.

Our customers are frontrunners in agri-food and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable, and track partners’ progress against sustainability goals. 

We're backed by leading investors, such as Galvanize Climate Solutions, Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture.

Agriculture has the power to reverse climate change. We believe science and technology can help us get there. 

Our goal is to use farmland to cool the earth. We are currently monitoring 200 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet.

Regrow is looking for a Data Analyst with visualization skills to support our product and science teams by unlocking the potential we have within our organizational data. This role will work closely with Product, Engineering, and Science to surface insights about our customers and organizational performance. Your expertise in data visualization may additionally support the product and design team when producing data-oriented product features. The ideal candidate has strong analytical skills and advanced knowledge of SQL. Data visualization skills and a working knowledge of Python would be highly advantageous.