Sr. Modeling Analyst
Sr. Modeling Analyst – Remote Sensing
Department:
Model Development
Objective of the Role:
The candidate will be extensively involved in all the production activities from remotely sensed data and support the integration of resultant products into a GIS environment for exposure models for modeled countries. Maintain and deliver the geospatial data and data components on time with highest quality. Particular skills in programming, numerical/statistical analysis, computing, databases etc. would add value.
Key Accountabilities & Deliverables:
- Overall responsible for quantitative and qualitative analysis of satellite/ aerial images
- Responsible for process enhancement initiative to meet the requirements for exposure models
- Involve in applying geospatial, remote sensing and other supportive domain knowledge in deriving additional data sources for exposure model development
- Establishes credibility by thought partnering on geospatial topics; takes positions and draws conclusions on a range of external and internal issues
- Provide professional skills necessary for all phases of data analysis, including the application of image processing methods for conducting analysis, QA/QC/, documentation and presentation.
- 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, provide support on ad-hoc analysis and reports.
Experience Required:
- Post Graduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute
- 0 to 2 year of total experience in developing geospatial data and data components for catastrophe risk insurance industry
- 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.
- Knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation
- 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
- Excellent communication skills and ability to independently lead and drive projects
Technical Skills:
- Deep understanding in remote sensing technology (classification, segmentation, change detection, decorrelation algorithms) for identifying the classes/ objects in hyper/multi – spectral satellite/ aerial images
- Strong working knowledge of ENVI and ESRI GIS software products and hands on exposure to open source platform such as QGIS, GRASS etc.
- Familiarity with Google Earth Engine and Open Street Map would be a plus
- Knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation
- Programming skills in Python, VB.Net, C#, C++, SQL etc will be an added advantage
- Quick leaner for new technologies, programming techniques, languages, and operating systems is a must