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