GIS Analyst

Moultrie is seeking to hire a GIS Analyst to expand geospatial support across engineering, product, and data-focused teams. This is a full-time, exempt role reporting to the Senior GIS Developer. This individual contributor role will research and document key geospatial data sources that will power map products, spatial analytics, and inform business decisions. The analyst will support and execute against established priorities while helping refine processes as GIS capabilities grow across the organization.

Moultrie is actively growing its geospatial capabilities across existing map-based mobile and web applications, and support for machine learning and data science workflows. This role helps ensure geospatial data is identified, acquired, transformed, documented, and delivered with quality and reliability.

• Support the GIS team by researching commercial and open geospatial data.
• Acquire, clean, transform, and document geospatial datasets to support product, engineering, and analytics use cases.
• Conduct spatial analysis to quantify customer activity, feature utilization, and geographic engagement patterns.
• Execute against defined priorities and deadlines while raising risks early and communicating status clearly.
• Perform quality assurance checks to improve data completeness, consistency, and usability.
• Document data lineage, transformation methods, assumptions, and known gaps (for example, counties/states with missing data).
• Contribute to repeatable geospatial processes and help improve internal GIS standards over time.
• Support occasional off-hours on-call needs for geospatial operations.
• Participate in interviews and provide hiring feedback when requested.

• Priority geospatial data sources are identified and delivered by agreed deadlines with clear documentation.
• Data products are complete where possible, with clear documentation of missing or unavailable data.
• GIS data research acquisition workflows are repeatable, documented, and trusted by partner teams.
• Cross-functional teams can reliably use geospatial analysis for planning.

• 3+ years of professional GIS experience.
• Hands-on experience with QGIS, PostGIS, GDAL, Mapbox, Python, and SQL.
• Strong understanding of foundational Geospatial concepts
• Experience collaborating with cross-functional stakeholders and communicating technical details clearly.
• Strong attention to detail, time management, curiosity, and ownership mindset.

Preferred Qualifications

• 5+ years of GIS experience.
• Experience supporting geospatial needs for product teams.
• Familiarity with cloud computing in Microsoft Azure.
• Experience with Spatiotemporal Asset Catalogs (STAC) and cloud native geospatial formats.

• The funding and long-term focus of a privately-held company, combined with the energy of a startup.
• The opportunity to work with cutting edge geospatial tools in an emerging GIS team.
• Remote-friendly culture with an optional annual hunting trip.