Web Analytics Specialist salary in Lithuania

Average Yearly Salary of Web Analytics Specialist in Lithuania is approximately 29,019 EUR (29,202 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 Web Analytics Specialist do?

A web analytics specialist is responsible for analyzing and interpreting data related to website performance and user behavior. They gather and analyze data from various sources, such as website traffic, social media, and online advertising campaigns, to provide insights and recommendations for improving website functionality, user experience, and overall digital marketing strategies. They use tools like Google Analytics and Adobe Analytics to track and measure key performance indicators (KPIs) such as conversion rates, bounce rates, and click-through rates. Additionally, they create reports and dashboards to present data findings to stakeholders and collaborate with marketing teams to optimize website performance and achieve business goals.

Skills: Web analytics, Data analysis, Digital marketing, User behavior, Performance tracking, Data interpretation
Job industry: Technology

How much does Web Analytics Specialist make?

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


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Salary comparison to National average

Is Web Analytics Specialist a well paid job?

Yes, our data shows that Web Analytics Specialist 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 Web Analytics Specialist?

High salary for Web Analytics Specialist would be somewhere between 31,921 EUR and 42,078 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Web Analytics Specialist 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: 29,019 EUR
Estimated Monthly Salary: 2,418 EUR
Estimated Weekly Salary: 558 EUR per week
Estimated Hourly Salary: 14 EUR per hour
By working as Web Analytics Specialist a person can save up to 1,486 USD per month or 17,831 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 Web Analytics Specialist

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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