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Geographic Information Systems Analyst

As a Geographic Information Systems (GIS) Analyst, you play a pivotal role in transforming raw geographical data into actionable insights that can influence critical decisions across various sectors, including urban planning, environmental conservation, and transportation. Your work not only enhances local and national projects but also contributes to global sustainability efforts, making a tangible impact on communities and ecosystems alike.

Geographic Information Systems Analyst

60

Computer Science

AI IMPACT
AI CAN DO60%moving to95%
THE DOOR, NOWC
THE DOOR, 20 YRSE
STARTING PAY£30,000 - £35,000
NO MOATNo physical, legal or personal barrier protects this work from software.
This work is being absorbed by AI
AI already does much of this work and nothing structurally requires a human: no licence, no physical task, no relationship at the core. Expect fewer people in higher-judgment roles: enter as the person directing the tools, not competing with them.

Career progression path

1FIRST STEPJunior GIS AnalystIn this entry-level role, you will assist in data collection and analysis, gaining hands-on experience with GIS software and tools. You will support senior analysts in creating maps and reports, while learning the fundamentals of spatial data management.£30,000 - £35,000
2GAINING EXPERIENCEMid-level GIS AnalystAs a mid-level analyst, you will take on more complex projects, leading data analysis efforts and collaborating with various departments. You will be expected to provide insights that influence decision-making and may mentor junior staff.£45,000 - £55,000
3PEAK CAREERSenior GIS Analyst/Head of GISIn a senior role, you will oversee GIS projects, manage teams, and drive strategic initiatives. Your expertise will guide organisational decisions, and you will represent the organisation in professional forums and conferences.£70,000+
There is more than one way in

You do not have to go the university route to get here. There is also a vocational route that skips a degree entirely.

Careermash

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AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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