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 stakeholders to make informed, data-driven decisions. - Partner with Finance, Product, Go-to-Market, and other cross-functional teams to understand business requirements and translate them into scalable analytics solutions. - Collaborate with Data Engineering to ensure reliable, high-quality data is available for reporting and analysis. - Partner with analytics engineers and analysts to establish dbt and Looker best practices, perform quality assurance on data models and dashboards, and support analytics needs across the organization. - Analyze complex datasets to uncover actionable insights that improve business performance, forecasting, and operational decision-making. - Help scope, prioritize, and execute analytics initiatives that deliver measurable value across the company. What You Bring - 4+ years of experience in analytics, analytics engineering, or a similar data-focused role using SQL to develop data models and generate business insights. - 2+ years of experience working with dbt and Looker in a production environment. - Strong experience designing, building, and optimizing scalable dbt models and Looker dashboards based on business and performance requirements. - Advanced SQL and analytical problem-solving skills, with the ability to independently solve complex data challenges. - Experience leveraging AI tools to accelerate analysis, troubleshoot data issues, and support complex data modeling workflows. - Experience owning the end-to-end analytics lifecycle, including data modeling, validation, quality assurance, and delivery of trusted reporting. - Excellent communication skills with the ability to explain technical concepts and analytical insights to both technical and non-technical stakeholders. - Demonstrated ability to work cross-functionally, influence stakeholders, and independently drive projects from concept through implementation. Nice to Haves - Experience building forecasting models using Python. - Experience supporting Finance, Revenue Operations, or SaaS business analytics. - Experience working with modern cloud data warehouses such as Snowflake. - Familiarity with Fivetran or similar ELT tools. What We Offer - 🏖️Flexible PTO - Take the time when you need it - 🍼Parental Leave - 16 weeks with 100% base salary + gradual return to work - 💰WFH Stipend - An initial $500 (Non-engineers) or $750 (Engineering roles) - 🏢 Coworking Stipend - $300 / month if you prefer to be at a coworking facility near you - ☀️Energize Fridays - Company-wide days to log off and recharge - 📶Connectivity Stipend - Up to $100 / month towards internet or phone - Learning & Development - $720 / annually to use towards professional development (You have to complete 90 days of employment to receive this stipend) - 🩺Medical, Dental, and Vision - Premiums are 100% covered for Aurorans and 90% for dependents - Please take a look at our U.S. Benefits Booklet https://www.canva.com/design/DAFLaobzynI/0YAE1SCIRKE7QHnJVp54iA/view?utm_content=DAFLaobzynI&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink for a deeper dive into our offerings Where Aurorans are: Aurora currently has teams within the US, Canada, Poland, and Germany with additional locations on the horizon. We’re united in our work to support the world’s transition to solar! Compensation Philosophy: At Aurora Solar, we foster an exceptional work environment through inclusiveness and transparency. Our pay ranges are anchored to the median of the market for companies of our size and industry. Our pay for new hires is typically set at the start of the position's pay range. This allows for financial growth within the role as the employee builds experience and displays a track record of performance success at Aurora. Our current base pay ranges in each zone are: - Tier 1: San Francisco, CA - New York, NY: $163,500 - $216,700 - Tier 2: Seattle, Los Angeles, Washington DC, Boston, San Diego: $149,800 - $198,600 - Tier 3: All Other US Locations, including Colorado: $13