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Job Location: Noida
The candidate will be extensively involved in all the Geo-Spatial data development-related activities like property-specific data development using satellite data, web resources and open data products. The candidate will also be responsible for QA/QC of the data developed by the team and will be ensuring smooth delivery to RMS internal stakeholders. Maintain and deliver the geospatial data and its components on time with the highest quality. Skills in programming, numerical/statistical analysis, computing, databases etc. would add value.
Key Accountabilities Deliverables:
- Overall responsible to develop geotechnical data layers and their scientific interpretation as part of exposure data models
- Performs complex data analysis using ArcGIS and related extensions/add-ons, relational databases, and other computer software; understands and can apply the capabilities of GIS, databases, and other computer programs to solve complex spatial and relational problems
- Develop and maintain documentation on implementation activity
- Responsible for process enhancement initiative to meet the model development needs
- Accountable to develop method/technique to assess the quality of geotechnical datasets
- Involve in applying geotechnical, geospatial, geostatistical, and other supportive domain knowledge in property-specific attributes
- The position will require independent work and being able to perform required research
- Provide professional skills necessary for all phases of data development, data analysis, QA/QC, documentation, presentation, and data delivery.
- Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)
- Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, providing support on ad-hoc analysis and reports.
Experience Required:
- Postgraduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute.
- 2 to 4 years of total experience in developing and managing geospatial data and data components for catastrophe risk insurance industry and Probably 2 years of experience in SQL Server.
- Research, collect, analyze, and consolidate available datasets (Land Use and Land Cover LULC – layers, building footprints, industrial facility polygons, road networks etc.)
- Analyze remotely sensed data from airborne, satellites, or ground-based platforms, using image processing software, GIS software, or statistical analysis software.
- Critical thinking skills and hands-on experience in data interpretation, formulating hypotheses and being able to make educated guesses when data may be sparse or unavailable
- Strong documentation skills with experience of working on MS Word, Excel (advanced knowledge such as using pivots, filters, using external data etc.), PowerPoint and Project
- Proactive approach – taking the initiative to solve problems, build consensus, research alternatives, and implement solutions to benefit the team/projects.
- Excellent communication skills and ability to independently lead and drive projects.
Technical Skills:
- Strong working knowledge of ESRI GIS software products and hands-on exposure to an open-source platform such as QGIS, GRASS and SQL server etc.
- Familiarity with Google Earth Engine and Open Streetmap would be a plus
- Proficiency in data analysis and data manipulation is required
- Knowledge of analysis techniques like statistical methodology, numerical techniques, and data manipulation
- Programming skills in Python, VB.Net, C#, C++ etc. will be an added advantage
- Quick learner for new technologies, programming techniques, languages, and operating systems is a must
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