Satellite Data Analyst — Earth Observation, Flexible Work

South African National Space Agency (SANSA)

Mthatha

On-site

ZAR 45,000 - 60,000

Full time

14 days+

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Benefits offered by this job

Health and wellness
Professional development
Flexible work arrangements
Performance-based bonuses
Access to satellite facilities

Job summary

South African National Space Agency (SANSA) in Mthatha is seeking a Satellite Data Analyst to support Earth Observation projects. You will analyze satellite imagery, develop data processing algorithms, and collaborate with cross‑functional teams to generate insights for environmental monitoring and socio‑economic development.

The role requires 3–5 years in satellite data analysis, a geospatial degree, and proficiency with Python, GIS tools, and remote sensing software.

Qualifications

  • 3–5 years of satellite data analysis or geospatial research.
  • Experience handling large datasets and producing actionable insights.
  • Strong analytical and communication skills, with ability to work in multidisciplinary teams.

Responsibilities

  • Analyze satellite imagery and remote sensing data for environmental and agricultural applications.
  • Develop algorithms for data processing and pattern recognition.
  • Collaborate with cross-functional teams on Earth observation projects.
  • Produce technical reports and visualizations for stakeholders.
  • Stay updated on advancements in satellite technology and data analytics.

Skills

Python
MATLAB
R
GIS
QGIS
ArcGIS
ENVI
ERDAS
Analytical thinking
Communication
Teamwork
Climate knowledge

Education

Bachelor's degree in Geospatial Science/Remote Sensing
Postgraduate qualification in Data Science or Space Technology

Tools

QGIS
ArcGIS
ENVI
ERDAS

Job description

South African National Space Agency (SANSA) in Mthatha is seeking a Satellite Data Analyst to support Earth Observation projects. You will analyze satellite imagery, develop data processing algorithms, and collaborate with cross‑functional teams to generate insights for environmental monitoring and socio‑economic development.

The role requires 3–5 years in satellite data analysis, a geospatial degree, and proficiency with Python, GIS tools, and remote sensing software.

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