Geospatial Data Analyst

Collect, clean, and process spatial datasets from multiple sources (satellite imagery, GPS data, census data, and client databases)
Perform spatial analysis such as catchment area, hotspot, clustering, and proximity analysis
Build interactive map-based dashboards and visualizations for clients
Combine geospatial data with business data (sales, customer, and operational data) to find location-driven trends
Maintain and update geospatial databases and ensure data accuracy
Prepare analysis reports and present findings to clients and internal teams
Work with data engineers and BI developers to integrate spatial layers into existing dashboards
Document methodologies, data sources, and map projections used in each project
Bachelor's degree in Geography, Geodesy and Geomatics, Geospatial Information, Urban Planning, or related field
2-4 years of experience in GIS or geospatial data analysis
Strong proficiency in QGIS or ArcGIS
Experience with spatial SQL (PostGIS) and Python (GeoPandas, Shapely) or R
Good understanding of coordinate systems, map projections, and spatial data formats (Shapefile, GeoJSON, GeoTIFF)
Experience building dashboards with BI tools (Tableau, Power BI, or Looker Studio)
Strong analytical thinking and attention to detail
Good communication skills in English and Bahasa Indonesia