Description of Role:

The GIS Analyst is a core member of the Analytics team, owning the geospatial function end-to-end — from parcel screening and site selection to ArcGIS Online administration and data pipeline maintenance. This role works closely with development, origination, and data engineering to support project siting, strategic analyses, and application development across multiple states and organized power markets.

Key responsibilities will include:

• Lead parcel-level site screening and constraint analysis to support BESS development across target states
• Administer ArcGIS Online (AGOL) — manage users, hosted layers, web maps, dashboards, and data pipelines; maintain organized, production-ready content
• Build and maintain siting notebooks and Python-based geospatial scripts
• Integrate data from vendors into Lightshift’s GIS platform and manage vendor relationships
• Produce maps and spatial exports for commercial, development and leadership presentations
• Maintain the multi-state GIS data library and state-specific project data in SharePoint and GitHub
• Coordinate annual vendor contract renewals and update recurring datasets on a regular cadence
• Monitor new developments across the GIS and energy industries that can improve Lightshift’s analytics toolset
• Conceptualize and execute enhanced analytic approaches and strategic initiatives to improve company siting, strategy, and competitive advantage

Location:

Washington, DC Metro Area

Compensation & Benefits:

• This position offers a salary range of $85,000 – $110,000, commensurate with experience.
• Full benefits package, including 401k, health/dental/vision insurance, paid vacation, paid sick leave, paid holidays, and short-term disability.

Requirements:

• GIS degree, certificate, and/or 1-5 years of relevant GIS experience in a professional setting
• Quantitative undergraduate degree (e.g., Geography, Environmental Science, Engineering, Mathematics, or Data Science)
• Proficiency in ArcGIS Pro and ArcGIS Online; experience managing hosted layers, pipelines, and organizational content
• Proficiency with Python for geospatial tasks (e.g., GeoPandas, Shapely) and comfort with GitHub-based and AI-supported software development workflows
• Strong attention to data quality; ability to troubleshoot CRS mismatches, invalid geometries, and schema changes
• Excellent communication skills and alignment with Lightshift’s core values (Innovative, Collaborative, Trustworthy)

Preferred Qualifications:

• Experience supporting renewable energy or battery storage development — including parcel screening, interconnection, siting, or land acquisition workflows
• Familiarity with grid infrastructure data sources and energy community datasets
• Experience building or maintaining Streamlit or similar lightweight web applications
• Exposure to PostGIS or other spatial databases