Senior GIS Analyst β€” Cloud Geospatial Data & Maps (Hybrid) in London

Senior GIS Analyst β€” Cloud Geospatial Data & Maps (Hybrid) in London

London Full-Time 40000 - 50000 Β£ / year (est.) Home office (partial)
g2 Recruitment

At a Glance

  • Tasks: Support project setup and create clean geospatial datasets for collaboration.
  • Company: G2 Recruitment, a dynamic firm in the heart of London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Exciting projects with a focus on data integrity and stakeholder engagement.
  • Why this job: Join a team that values innovation and collaboration in geospatial data.
  • Qualifications: Experience in GIS analysis and strong teamwork skills.

The predicted salary is between 40000 - 50000 Β£ per year.

G2 Recruitment is seeking a GIS Analyst/Technician in London with a hybrid work model (3 days in the office).

You will support project setup, data organization, analysis and mapping across multiple projects, building clean geospatial datasets accessible to cross-functional collaborators.

The role emphasizes data provenance, clear naming strategies, and collaboration with stakeholders to define spatial data needs. London studio-based position with Outside IR35.

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Senior GIS Analyst β€” Cloud Geospatial Data & Maps (Hybrid) in London employer: g2 Recruitment

Join a global leader in low-carbon design and energy efficiency, where you can contribute to meaningful Net-Zero projects while enjoying a flexible hybrid working environment in either Manchester or London. With a strong emphasis on employee growth and collaboration, this consultancy offers competitive rates and the chance to work on high-impact developments that shape the future of sustainable engineering.

g2 Recruitment

Contact Details:

g2 Recruitment Recruitment Team

We think you need these skills to ace Senior GIS Analyst β€” Cloud Geospatial Data & Maps (Hybrid) in London

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Python
Automation
Data Engineering