Gis Data Analyst salary in Hungary

Average Yearly Salary of Gis Data Analyst in Hungary is approximately 8,236,495 HUF (21,389 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Gis Data Analyst do?

A GIS data analyst is responsible for collecting, organizing, analyzing, and interpreting geographic data using Geographic Information Systems (GIS) technology. They work with various types of spatial data, such as maps, satellite imagery, and aerial photographs, to create visual representations and perform statistical analysis. The primary goal of a GIS data analyst is to extract meaningful insights and patterns from the data to support decision-making processes. Key tasks of a GIS data analyst include data collection, data cleaning and validation, spatial database management, spatial analysis, and map creation. They collaborate with other professionals, such as urban planners, environmental scientists, and engineers, to provide them with accurate and up-to-date spatial information. Additionally, they may develop and maintain GIS databases, update and maintain GIS software, and provide technical support to users.

Skills: GIS, data analysis, spatial data, geographic information systems, spatial analysis, data visualization
Job industry: Technology

How much does Gis Data Analyst make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Gis Data Analyst a well paid job?

Yes, our data shows that Gis Data Analyst is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Gis Data Analyst?

High salary for Gis Data Analyst would be somewhere between 9,060,145 HUF and 11,942,918 HUF. However this is an estimation based on Gaussian Distribution.

How much can you save working as Gis Data Analyst in Hungary?

Living in Hungary the approximate monthly expenses are: 760 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 8,236,495 HUF
Estimated Monthly Salary: 686,375 HUF
Estimated Weekly Salary: 158,394 HUF per week
Estimated Hourly Salary: 3,960 HUF per hour
By working as Gis Data Analyst a person can save up to 1,022 USD per month or 12,264 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Hungary, see costs of living in Hungary.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Austria, Slovakia, Ukraine, Romania, Serbia, Croatia, Slovenia..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Gis Data Analyst

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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