GIS Data Analyst

Updeal Resources

Lagos, Nigeria CDI

Publiée il y a 1 mois · Expire dans 3 semaines

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Description du poste

We invite applications from suitably qualified candidates. Position Overview:
  • We are seeking a motivated and detail-oriented GIS Data Analyst with expertise in Geographic Information Systems (GIS) and Python programming. The successful candidate will be responsible for collecting, analyzing, and interpreting spatial and non-spatial data to support decision-making processes.
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.
  • Document processes and methodologies for reproducibility and knowledge sharing.
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.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, both written and verbal.
Preferred Skills:
  • Knowledge of remote sensing techniques and satellite imagery analysis.
  • Familiarity with cloud platforms (e.g Google Cloud) for data storage and processing.
  • Experience with web mapping technologies (e.g., Leaflet, Mapbox)
  • Understand statistical and machine-learning techniques for geospatial data.

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