Associate Geospatial Analyst
Job Description
About AiDash
AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance – and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.Â
We are a Series C climate techstartup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, among others)! We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers”. We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies2024”.
Join us in creating a greener, cleaner, and safer planet from space!
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How you'll make an impact:
- Prepare, extract, and organise spatial and non-spatial data requirements based on the client requirements
- Analysing spatial data, discovering patterns and trends using mapping software and in-house developed tools
- Creating digital maps with geographic data and other data sources
- Creating "shapefiles" to merge topographical data with external data
- Working on satellite imagery & data to map and assess criticality of client assets
- Image processing & analysis, photogrammetry and arial photography interpretation
- Asset mapping, classification, digitisation, Geo-referencing and feature creation
- Ensure productivity targets are met with utmost focus on quality
What are we looking for?
- Â 1-3 years of work experience in GIS domain.
- Experience with mapping tools such as QGIS, ArcGIS and Google Earth Pro.
- Contribute to maintaining data quality standards and ensure GIS data integrity
- The ability to learn quickly and a willingness to obtain functional knowledge and understanding of project specification/procedures.
Date Posted
12/20/2024
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