Staff Analytics Engineer, Business Solutions

About GoodLeap

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.

GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.

Position Summary We are seeking a Staff Data Scientist with experience owning data science roadmaps and influencing stakeholders to guide the business strategy. Our ideal candidate is impact-oriented, comfortable balancing competing priorities, and skilled at working independently with both product and business stakeholders. In this role, you will scope, prioritize, and execute analysis projects that will uncover opportunities, inform investments, and drive accountability for results. You will also work closely with other members of the Analytics team on foundational projects to empower analysts and business users across the company with more and easier access to data.

Essential Job Duties & Responsibilities Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs. Build datasets, pipelines, and dashboards using ‘Agile’ framework. Design scalable data models and architecture patterns that support analytics use cases, ensuring alignment with organizational standards and data strategy. Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations. Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms. Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.

Required Skills, Knowledge & Abilities BS in Computer Science, DS, or related technical degree or equivalent work experience 6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst or similar role 5+ years' hands-on SQL experience in a work environment Experience with data modeling, documenting process and data flows, and ensuring data quality Experience with ETL processes, software development, and lifecycle awareness Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses Analytical mindset and willingness to identify and question assumptions