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GoodLeap is a fintech platform delivering financing and software products for sustainable home solutions (solar, batteries, HVAC, heat pumps, roofing, windows). Over 1 million homeowners have used the platform, and thousands of professionals rely on GoodLeap's AI-powered applications and developer tools. The company has facilitated over $30 billion in financing for sustainable solutions since 2018.
In this Senior Analyst role, you will drive strategic financial and market analysis across the business. Key responsibilities include:
• Build and maintain margin and unit economics analyses across products, channels, and partners—identifying drivers of margin compression and expansion, and quantifying levers to improve profitability.
• Identify and size growth markets through market sizing, competitive and industry intelligence, and prioritization of new geographies, verticals, and partner segments.
• Develop customer, contractor, and partner segmentation using internal and external data to inform targeting, pricing, and go-to-market priorities in collaboration with Sales, Marketing, and Product teams.
• Build and automate forecasts, KPI dashboards, and recurring reporting—leveraging AI tools (e.g., Claude), SQL, and Python to replace manual workflows and improve accuracy and speed.
• Translate analyses into clear, executive-ready presentations and recommendations; track initiative performance against business cases; identify opportunities to embed AI into team and business workflows.
You will work in a fast-paced environment where priorities evolve, collaborating across functions to drive data-informed decision-making.
REQUIREMENTS:
• Bachelor's degree in Economics, Finance, Statistics, Analytics, Engineering, or a related quantitative field (required).
• 2–4 years of experience in analytics, strategy consulting, investment banking, FP&A, corporate strategy, or high-growth fintech (required).
• Strong quantitative and analytical skills; ability to break down ambiguous problems, form hypotheses, and drive to answers with incomplete data.
• Advanced Excel and PowerPoint proficiency; working proficiency in SQL preferred (Python, Tableau, or Power BI a plus).
• Demonstrated, hands-on use of AI tools (e.g., Claude) in day-to-day analytical work—prepared to walk through specific workflows built or automated.
• Ability to explain complex analysis in simple, plain language to audiences across every function.
• Working knowledge of lending or fintech fundamentals (unit economics, credit performance, customer acquisition), or demonstrated ability to ramp quickly.
• Intellectual curiosity, ownership, and bias for action; thrives in fast-paced environments.
• Low-ego, collaborative teammate who builds trust across functions.
• Sound judgment and discretion handling confidential financial and customer data.
