Data Network Analyst salary in Lithuania

Average Yearly Salary of Data Network Analyst in Lithuania is approximately 32,498 EUR (32,564 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 Data Network Analyst do?

A data network analyst is responsible for managing and maintaining computer networks within an organization. They analyze network performance, troubleshoot issues, and implement necessary upgrades and modifications to ensure optimal functionality. These professionals collaborate with other IT teams to design and implement network solutions, such as routers, switches, firewalls, and wireless systems. Additionally, they monitor network traffic, identify security vulnerabilities, and implement appropriate measures to protect the network from potential threats. Data network analysts also document network configurations and procedures, provide technical support to end-users, and stay updated with emerging technologies and industry trends.

Skills: data network analyst, network management, network troubleshooting, network security, network upgrades, technical support.
Job industry: Information technology

How much does Data Network Analyst make?

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


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Salary comparison to National average

Is Data Network Analyst a well paid job?

Yes, our data shows that Data Network 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 Data Network Analyst?

High salary for Data Network Analyst would be somewhere between 35,748 EUR and 47,122 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Network Analyst in Lithuania?

Living in Lithuania the approximate monthly expenses are: 948 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: 32,498 EUR
Estimated Monthly Salary: 2,708 EUR
Estimated Weekly Salary: 625 EUR per week
Estimated Hourly Salary: 16 EUR per hour
By working as Data Network Analyst a person can save up to 1,766 USD per month or 21,193 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 Lithuania, see costs of living in Lithuania.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Belarus, Latvia, Poland, Russia..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Network 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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