Job Description
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