Staff Analytics Engineer

About Aurora Solar Aurora is on a mission to create a future of solar for all. Our award-winning software puts the power of data and technology into the hands of every solar professional to make solar adoption simple and predictable. Our software has designed millions of solar projects so far, empowering solar companies to sell, design, and install residential and commercial solar arrays accurately, seamlessly, and at scale. We’ve been named one of "The Best Remote Companies" by BuiltIn.com https://builtin.com/company/aurora-solar and have been recognized for the second time as a Certified Green Business (CGB) with the city of San Francisco. We’re in this together to support the world’s transition to solar. About the Team We are a team of experienced data professionals spanning Data Engineering, Analytics Engineering, and Analytics. We work collaboratively across the business to build trusted data foundations, deliver actionable insights, and solve complex problems that help accelerate the transition to clean energy. About the Role In this role, you will partner cross-functionally with Finance, Product, and Go-to-Market teams to design scalable dbt data models, build intuitive Looker dashboards, and integrate data from a variety of SaaS applications. You'll transform complex datasets into trusted insights that guide business decisions, forecasting, and execution. You'll collaborate closely with Data Engineering to ensure high-quality, reliable data pipelines while partnering with analytics engineers and analysts to establish and maintain dbt and Looker best practices. As a Staff-level individual contributor reporting to the Senior Director of Analytics, you'll play a key role in shaping Aurora's analytics foundation and enabling data-driven decision-making across the business. Your Impact - Design, build, and evolve scalable dbt data models that accurately represent company KPIs and business metrics. - Develop and maintain intuitive Looker dashboards that enable sta