Analytics Engineer, Business Solutions

Position: Staff Analytics Engineer, Business Solutions

About Good Leap:

Good Leap 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 Good Leap’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.

Good Leap is also proud to support our award-winning nonprofit, Give Power, 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 Analytics Engineer with skills in pipeline development, data modeling and reporting to support data enablement and operational reporting for our corporate teams, including product, sales, operations, risk, and compliance. Our ideal candidate has a strong foundation in pipeline development, reporting, data architecture, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs.

In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and scale data products used by corporate teams. You will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to stakeholders, and to contribute to 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, Data Science, 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 processes 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.

$173,000 - $200,000 a year (In addition to the above salary, this role may be eligible for a bonus and equity).

Additional Information Regarding

Job Duties and

Job Description s

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