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GIS Data Analyst at Polaris Digitech Limited – Hiring Now

GIS Data Analyst

A GIS (Geographic Information System) Data Analyst is responsible for managing, analyzing, and interpreting geographic data to support decision-making and strategic planning. Here are the key responsibilities typically associated with this role:

Data Collection and Management:

  • Gather geographic data from various sources, including satellite imagery, aerial photography, field observations, and existing datasets.
  • Maintain and update GIS databases, ensuring data accuracy, quality, and integrity.

Data Analysis and Interpretation:

  • Analyze spatial data to identify patterns, trends, and relationships.
  • Use GIS software to perform spatial analysis, including overlay analysis, buffering, and spatial statistics.
  • Interpret analysis results to provide actionable insights and recommendations.

Mapping and Visualization:

  • Create detailed and visually appealing maps, charts, and other graphical representations of spatial data.
  • Use cartographic principles to enhance map readability and usability.

Data Integration:

  • Integrate GIS data with other datasets, such as demographic, environmental, and economic data.
  • Ensure compatibility and interoperability between GIS data and other data systems.

Reporting and Documentation:

  • Prepare reports and presentations to communicate findings and recommendations to stakeholders.
  • Document methodologies, processes, and workflows used in data analysis and mapping projects.

Software and Technology Utilization:

  • Utilize various GIS software, such as ArcGIS, QGIS, and other relevant tools.
  • Stay updated with the latest GIS technologies, trends, and best practices.

Project Management:

  • Manage GIS projects, including planning, executing, and monitoring project progress.
  • Coordinate with other departments, organizations, or external partners involved in GIS projects.

Quality Assurance:

  • Conduct quality assurance checks to ensure data accuracy and consistency.
  • Implement data standards and best practices for data management and analysis.

Method of Application

Interested and qualified candidates should forward their CV to: [email protected] using the position as subject of email.

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