Manager, Analytics
Newark element14
Noida, India
4d ago

Key Accountabilities & Deliverables :

  • Administer efficient working of all GIS staff, manage projects and evaluate performance of all employees.
  • Develop a variety of layers and structure for all spatial data and coordinate with Model Dev teams to integrate data into model platforms.
  • Maintain and operate all GIS related products, manage all components of system database and design and ensue achievement of all phases for project and assist in planning.
  • Coordinate with across geography teams, prepare project plans and provide proactive suggestions / recommendations.
  • Forecast and evaluate present trends, anticipate issues and develop efficient procedures to improve overall data quality.
  • Coordinate with database administrators and ensure availability of all GIS applications as per requirement.
  • Responsible for process enhancement, writing functional specifications and ensuring effective utilization of software development team.
  • Understand the project requirements and help software team to build applications.
  • 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
  • Provide professional skills necessary for all phases of data 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
  • 8 to 10 years of total experience with probably 5-year experience in developing geospatial data layers 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
  • Excellent communication skills and ability to lead the team and drive projects.
  • Technical Skills :

  • Strong working knowledge of ESRI GIS software products and hands on exposure to open source platform such as QGIS, GRASS etc.
  • Familiarity with Google Earth Engine, Open street map and SQL Server 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++, SQL etc. will be an added advantage
  • Quick leaner for new technologies in geospatial domain is must
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