Staff Analytics Engineer

Aurora Solar is on a mission to create a future of solar for all. They are seeking a Staff Analytics Engineer to partner with cross-functional teams to design scalable data models and build dashboards, transforming complex datasets into actionable insights that drive business decisions.

Responsibilities:

• 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

Requirements:

• 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
• 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