Senior Geospatial Data Analyst - ArcGIS & Visualization

Esri South Africa

Mahikeng

Presencial

ZAR 600.000 - 900.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Professional growth
Collaborative environment
Access to latest technologies
Recognition program

Descripción de la vacante

Esri South Africa seeks a Geospatial Data Analyst in Mahikeng to analyze geospatial data and support business decisions using ArcGIS. The role requires a Bachelor’s degree in GIS or a related field and about 5 years of experience in geospatial analysis and data science.

The ideal candidate will handle large datasets, perform spatial analysis, and communicate insights to non-technical stakeholders, with strong problem-solving and collaboration skills.

Formación

  • Bachelor’s degree in Geographic Information Systems or related field.
  • 5 years of experience in geospatial analysis and data science.
  • Proficient in Esri software including ArcGIS and ArcMap.

Responsabilidades

  • Analyze and interpret geospatial data to support business decisions.
  • Develop and implement geospatial models and algorithms to solve complex problems.
  • Collaborate with customers to understand their needs and develop solutions that meet their requirements.
  • Design and implement data visualization tools to communicate complex data insights to non-technical stakeholders.
  • Stay up-to-date with the latest trends and technologies in geospatial analysis and data science.

Conocimientos

Geospatial analysis
Data visualization
Python
Communication

Educación

Bachelor’s degree in GIS or related field

Herramientas

ArcGIS
ArcMap

Descripción del empleo

Esri South Africa seeks a Geospatial Data Analyst in Mahikeng to analyze geospatial data and support business decisions using ArcGIS. The role requires a Bachelor’s degree in GIS or a related field and about 5 years of experience in geospatial analysis and data science.

The ideal candidate will handle large datasets, perform spatial analysis, and communicate insights to non-technical stakeholders, with strong problem-solving and collaboration skills.

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