GIS (Geographic Information System) Lead Analyst - Remote
Prime System Solutions · TELECOMMUTE · Posted Jul 2, 2026
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⏰ Shift Schedule & Work Setup:
US Eastern/Central Timezone (Night Shift in PH)
100% Remote – work from the comfort of your home
Applicants should be equipment ready (laptop, headset, etc.) to ensure a smooth start and seamless workflow
🏢 Job Summary:
We're looking for a Lead Analyst, Geospatial Data to support business teams in making data-driven decisions using Geographic Information Systems (GIS). This role will focus on enhancing GIS platforms and workflows while improving the accuracy, quality, and accessibility of both internal and third-party geospatial data, including information related to hosting capacity, interconnection, zoning, permitting, and land ownership.
The successful candidate will work closely with cross-functional teams to solve complex geospatial data challenges, develop maps, dashboards, and other GIS data products, and provide insights that support strategic business decisions. This is an excellent opportunity for someone who enjoys leveraging GIS technology to drive operational improvements, optimize workflows, and contribute to the growth of renewable energy and infrastructure projects.
🔑 Key Responsibilities:
Own and Deliver Data Products: Gather requirements for, prioritize, deliver, maintain, and continuously improve maps, reusable layers, dashboards, analyses, and other geospatial data assets. Act as the product manager and implementer for your domain’s data offerings.
Be a Trusted Data Partner: Become the subject matter expert for GIS data within the organization. Identify opportunities for impact, proactively surface insights, support decision-making, and contribute to and influence business strategy and initiatives. Serve as a trusted partner to business stakeholders.
Drive Data Quality, Documentation, and Engineering: Create and maintain comprehensive data documentation and communicate updates to stakeholders. Write user stories or tickets for data engineering, conduct QA, and implement data quality monitoring.
Foster Data Culture and Adoption: Monitor the usage of data assets, increase data literacy, and promote self-service among stakeholders. Provide training, guidance, and support as needed.
Collaborate Across the Data Team: Work within a centralized data team using agile methodologies. Support peer analysts through collaboration and code reviews.
Influence Data Strategy: Partner with data engineers, scientists, and analysts to shape the vision and roadmap for the organization's broader data platform. Define and track annual OKRs to measure your impact.