Senior Modeling Analyst @ Earth Career Grow Hr

Job Description

Job description

This position will be required to work in a fast-paced environment with a multi-disciplinary team of analytical professionals working on the commercial and residential building attributes data product. The person must be able to communicate effectively within and outside organization. Candidate with reasonably good Remote Sensing, Coding and GIS background is required to capture building related attributes using image interpretation skills and other internet resources.

Key Accountabilities Deliverables:

• Responsible for quantitative and qualitative analysis of geospatial layers i.e., satellite/aerial images, Land use Land Cover, industrial regions, etc.
• Involve in applying programming, geospatial and other supportive domain knowledge in deriving additional data sources for exposure model development.
• Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)
• Responsible for process enhancement initiative to meet the requirements for exposure models.
• 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.
• 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:

• Postgraduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute
• 2 to 3 years 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 or through any programming language.
• Knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation, calibration, and validation of the models.
• 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 and developing algorithms from the same.
• Strong working knowledge of ENVI and ESRI GIS software products and hands on exposure to experience working in 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, R, VB.Net, C#, C++, SQL etc will be an added advantage.
• Knowledge in machine learning based algorithms for modelling, predicting, identifying objects from remote sensing and GIS datasets.
• Quick leaner for new technologies, programming techniques, languages, and operating systems is a must.

Employement Category:

Employement Type: Full time
Industry: Recruitment Services
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Senior Modeling Analyst

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Keyskills:   ms sql sql python