Geospatial Analyst / Associate Geospatial Analyst/ Sr. Geospatial Analyst

Key Skills

Algorithms, AWS, Azure, Docker, Machine learning techniques, R Programming, UI design, UX design

Job Description

AiDash is transforming Operations, Maintenance & Sustainability for core industries with geographically distributed assets using the power of Satellites and AI.

We help Fortune 500 companies utilise high-resolution satellite data for inspection and remote monitoring of geographically distributed assets at scale for utility and energy industries. Recommendations for preventive and predictive maintenance generated by our AI models have helped clients save millions of dollars.

Our team of researchers, engineers, data scientists, business consultants, and product managers constantly strive to build AI models and products, making the job of business executives and operating teams easier.

To fuel our capability and growth plans, this quarter we raised Series B funding round, led by G2 Venture Partners with participation from BGV, National Grid Partners, and additional strategic partners, to give us both strategic and financial boosts. In the last year, we have grown our customer count by six times, annual recurring revenue by five times, and employee count by five times.

What you will be doing?

• 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?

• 0-3 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.