Compare Occupations

SUMMARY
28%
Low Risk
22%
Low Risk
19%
Minimal Risk
20%
Minimal Risk
18%
Minimal Risk
JOB SCORE 6.7/10 6.6/10 5.2/10 5.6/10 7.4/10
POLLING
51%
(Moderate Risk, Based on 85 votes)
49%
(Moderate Risk, Based on 67 votes)
42%
(Moderate Risk, Based on 83 votes)
There hasn't been enough votes on this occupation yet
25%
(Low Risk, Based on 290 votes)
GROWTH
by year 2034
8.2%
8.7%
-3.1%
0.6%
3.4%
WAGES
$108,970
or $52.39 per hour
$135,980
or $65.37 per hour
$97,200
or $46.73 per hour
$117,960
or $56.71 per hour
$83,720
or $40.25 per hour
VOLUME
as of 2024
439,380
64,770
1,380
22,580
43,040
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes. Snowflake diagram for Geographic Information Systems Technologists and Technicians Snowflake diagram for Database Architects Snowflake diagram for Geographers Snowflake diagram for Remote Sensing Scientists and Technologists Snowflake diagram for Urban and Regional Planners
DESCRIPTION Assist scientists or related professionals in building, maintaining, modifying, or using geographic information systems (GIS) databases. May also perform some custom application development or provide user support. Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality. Study the nature and use of areas of the Earth's surface, relating and interpreting interactions of physical and cultural phenomena. Conduct research on physical aspects of a region, including land forms, climates, soils, plants, and animals, and conduct research on the spatial implications of human activities within a given area, including social characteristics, economic activities, and political organization, as well as researching interdependence between regions at scales ranging from local to global. Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems. Develop comprehensive plans and programs for use of land and physical facilities of jurisdictions, such as towns, cities, counties, and metropolitan areas.

Compare Occupations Side by Side

Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.

Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.