Key Responsibilities:
Collect, clean, and analyze spatial and non-spatial datasets from multiple sources.
Utilize GIS software (e.g. ArcGIS, QGIS) to perform spatial analysis and create maps and visualizations.
Develop and maintain Python scripts to automate data processing and analysis tasks.
Interpret and present data insights through reports, dashboards, and presentations.
Collaborate with cross-functional teams to support data-driven decision-making.
Ensure data accuracy, integrity, and consistency across various datasets.
Conduct geospatial modeling and statistical analysis to address complex problems.
Identify trends, patterns, and anomalies within datasets and provide actionable insights.
Required Skills and Qualifications:
Bachelor\'s degree in Geography, Geology, Data Science, Computer Science, or a related field.
2-3 years of experience in data analysis with a focus on GIS and Python programming.
Proficiency in GIS tools (e.g., ArcGIS, QGIS) and geospatial data processing.
Strong Python programming skills for data manipulation, automation, and analysis (e.g., Pandas, NumPy, GeoPandas).
Experience working with spatial databases (e.g., PostGIS, SQLite) and SQL queries. Have practical knowledge of database management