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Gis Data Analyst salary in Russia

Average Yearly Salary of Gis Data Analyst in Russia is approximately 1,502,750 RUB (14,443 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?

occupation personasA 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?

Salary details
How much does Gis Data Analyst make?
Estimated Yearly Salary: 1,502,750 RUB
Estimated Monthly Salary: 125,229 RUB
Estimated Weekly Salary: 28,899 RUB per week
Estimated Hourly Salary: 722 RUB per hour
Values are pre-tax
Last revision of data: 2025-01-04

Comparing salary to last year:
Estimated Yearly Salary: 1,454,440 RUB
Estimated Monthly Salary: 121,203 RUB
Estimated Weekly Salary: 27,970 RUB per week
Estimated Hourly Salary: 699 RUB per hour
Last revision of data: 2024-01-07



Gis Data Analyst estimated salary in USD
For easier comparison here is an estimated salary in USD:
Estimated Yearly Salary: 14,443 USD
Estimated Monthly Salary: 1,204 USD
Estimated Weekly Salary: 278 USD per week
Estimated Hourly Salary: 7 USD per hour


Difference in salary year over year or average salary increase is approximately up arrow 3 %

About these results Data confidence is - relatively high
Data fetched from dabase: 14 submissions.
Results are anonymized. Amounts indicated are pre-tax, meaning no deductionts yet have been made to the basic salary. Salaries where there are less than 3 entries are not displayed.

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Salary comparison to National average

Russia, officially known as the Russian Federation, is the largest country in the world by land area. It spans across Eastern Europe and Northern Asia, covering approximately 17.1 million square kilometers. With a population of over 145 million people, Russia is the ninth most populous country globally. Its capital city is Moscow, which is also the most populous city in the country.

Estimated national average yearly salary is 1,224,752 RUB (12,830 USD). Value indicated is pre-tax. Below graph shows estimated Gis Data Analyst job salary compared to average salary in Russia.
Comparison shows that a person working as Gis Data Analyst in Russia earns on average:
1.23 times the average salary (or 123% of average salary).

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 1,653,025 RUB and 2,178,988 RUB. However this is an estimation based on Gaussian Distribution.

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

Living in Russia the approximate monthly expenses are: 513 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: 1,502,750 RUB
Estimated Monthly Salary: 125,229 RUB
Estimated Weekly Salary: 28,899 RUB per week
Estimated Hourly Salary: 722 RUB per hour
By working as Gis Data Analyst a person can save up to 690 USD per month or 8,285 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 Russia, see costs of living in Russia.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Norway, Finland, Estonia, Latvia, Lithuania, Poland, Belarus, Ukraine, Georgia, Azerbaijan, Kazakhstan, China, Mongolia, North Korea..
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

Norway is 107,559 USDup arrow 645%
Details on Gis Data Analyst salary in Norway
Finland is 61,260 USDup arrow 324%
Details on Gis Data Analyst salary in Finland
Estonia is 31,281 USDup arrow 117%
Details on Gis Data Analyst salary in Estonia
Latvia is 24,303 USDup arrow 68%
Details on Gis Data Analyst salary in Latvia
Lithuania is 26,718 USDup arrow 85%
Details on Gis Data Analyst salary in Lithuania
Poland is 20,770 USDup arrow 44%
Details on Gis Data Analyst salary in Poland
Ukraine is 4,832 USDdown arrow 67%
Details on Gis Data Analyst salary in Ukraine
China is 14,521 USDup arrow 1%
Details on Gis Data Analyst salary in China
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 up arrow+12% salary increase
    6 to 10 years of experience yields up arrow+25% salary increase
    11 to 15 years of experience yields up arrow+16% salary increase
    16 to 25 years of experience yields up arrow+9% salary increase
    more than 25 years of experience yields up arrow+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.

Top 10 highest salaries in Russia

(13,934,809 RUB per year, pre-tax.)
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(11,174,546 RUB per year, pre-tax.)
(10,855,821 RUB per year, pre-tax.)
(10,830,980 RUB per year, pre-tax.)
(10,599,260 RUB per year, pre-tax.)
(10,583,170 RUB per year, pre-tax.)
(10,579,813 RUB per year, pre-tax.)
(10,569,788 RUB per year, pre-tax.)
(10,551,739 RUB per year, pre-tax.)

Data as of 2025

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The salary estimates on this website are meant for reference use exclusively.
This website aggregates salary data for educational purposes only. While we endeavor to deliver correct estimates, we cannot ensure their full precision. Users are highly advised to consult additional databases before finalizing career-related decisions. Salary figures vary based on several conditions, such as industry trends, negotiation power, and regional demand. We make no guarantees as to the validity of the provided data. Your access of this site indicates agreement of this notice.
This website provides salary data solely for informational use. While we endeavor for correctness, we do not ensure the precision of all figures. Users should verify salary details with reliable sources before making career-related decisions. Salary estimates can fluctuate based on multiple elements, such as geographic location, experience, and job role. We accept no liability for misinterpretations in the salary estimates provided. By accessing this website, you accept that salary data is subject to change.