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dhruva space

We want to create exceptional small satellite systems to help space exploration technology meet human imagination and innovation.
Join our crew!

Role

Geospatial Business Analyst

Location

Hyderabad, TS, India

Job Type

Internship

Category

Business Development & Sales

Role overview and responsibilities

Dhruva Space is seeking a passionate Geospatial Business Analyst-Intern to work closely with regulatory bodies, clients, and technical teams in developing satellite imagery-based solutions. This hands-on role provides a unique opportunity to explore the intersection of remote sensing technology, business development, and regulatory compliance in the geospatial sector. As an intern, you will engage in real-world applications of satellite imagery and contribute to innovative projects within the Space industry.

Responsbilities include but are not limited to:

  • Assist in the preparation and presentation of satellite imagery-based proposals tailored to clients' specific needs.
  • Collaborate with regulatory bodies to ensure compliance with geospatial guidelines and imagery sales regulations.
  • Work closely with business-oriented stakeholders to gather project requirements and define objectives.
  • Support technical teams in analyzing satellite imagery and developing advanced geospatial solutions.
  • Leverage tools such as Python, Google Earth Engine (GEE), PostGIS, AI, ML, and GIS software to perform data analysis and visualization.
  • Participate in client meetings and presentations, contributing insights and enhancing your understanding of client interactions.
  • Adapt quickly to new tools, technologies, and methodologies relevant to project management in the geospatial domain.
  • Engage in continuous learning to stay updated with geospatial regulations, best practices, and emerging technologies.

Candidate requirements
  • Pursuing a Bachelor’s or Master’s degree in Geoinformatics, Computer Science, or a related field.
  • A solid understanding of remote sensing principles and geospatial technologies.
  • Proficiency in Python, Google Earth Engine (GEE), and PostGIS.
  • Familiarity with GIS software such as ArcGIS, QGIS, or other image-processing tools.
  • Exposure to AI and ML algorithms applied to geospatial analysis.
  • Strong written and verbal communication skills.
  • A team player who is eager to learn, adaptable, and able to work effectively in a fast-paced environment.
  • Willingness to travel for client engagements if needed.