Intern
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New
Job summary
We are seeking a motivated, detail-oriented, and tech-savvy intern to join our growing geospatial team. In this role, you will support the planning, execution, and management of spatial data projects, assisting in transforming hyperlocal field data into actionable intelligence. This internship is ideal for an early-career professional or students.
Min Qualification:
HND
Experience Level:
Internship & Graduate
Experience Length:
No Experience/Less than 1 year
Language Requirement:
English
Work Type:
Casual & Seasonal
Working Hours:
8 to 5
Applicant Location:
Nigeria
Job descriptions & requirements
Responsibilities:
- Assist in collecting, cleaning, processing, and organizing spatial and non-spatial data collected from field operations.
- Support the creation of maps, geoportals, spatial databases, and data visualizations for government, infrastructure, public health, and market research projects.
- Perform data validation routines to check for spatial accuracy, troubleshoot data anomalies, and maintain high standards of data integrity.
- Collaborate with field operations teams to streamline digital data collection workflows, mobile mapping tools, and data pipelines.
- Conduct geospatial research, document workflows, and stay up to date with emerging trends in geospatial technology, remote sensing, and location intelligence.
Requirements:
- Currently pursuing or recently holding a Bachelor’s degree in Geographic Information Systems (GIS), Geography, Geoinformatics, Surveying, Computer Science, Data Science, or a related field.
- Familiarity with GIS software (e.g., ArcGIS, QGIS, or ArcGIS Online).
- Basic understanding of spatial database management, coordinate systems, and projections.
- Analytical mindset with a strong interest in handling and interpreting large datasets.
- Bonus: Exposure to Python scripting, SQL, mobile data collection tools (e.g., ODK, KoboToolbox), or web mapping technologies is a strong plus.
Soft Skills:
- Excellent communication and collaboration skills.
- Strong attention to detail and problem-solving capabilities.
- Eagerness to learn in a fast-evolving tech and geospatial landscape.
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