Senior Data Analyst salary in Lithuania

Average Yearly Salary of Senior Data Analyst in Lithuania is approximately 39,834 EUR (39,794 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 Senior Data Analyst do?

A senior data analyst is responsible for analyzing complex datasets to extract meaningful insights and trends that can drive business decisions. They work with large volumes of data, utilizing statistical techniques and data visualization tools to identify patterns, correlations, and anomalies. Senior data analysts also collaborate with cross-functional teams to define key performance indicators, develop data models, and design experiments to test hypotheses. Their role includes data cleaning, transforming, and validating data to ensure accuracy and reliability. They are proficient in programming languages such as Python or R and have a strong understanding of database management systems. Senior data analysts are skilled at presenting their findings to stakeholders in a clear and concise manner, providing actionable recommendations based on data-driven insights.

Skills: Senior Data Analyst, Data Analysis, Data Visualization, Statistical Analysis, Database Management, Programming
Job industry: Technology

How much does Senior 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 Senior Data Analyst a well paid job?

Yes, our data shows that Senior 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 Senior Data Analyst?

High salary for Senior Data Analyst would be somewhere between 43,817 EUR and 57,759 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Senior Data 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: 39,834 EUR
Estimated Monthly Salary: 3,320 EUR
Estimated Weekly Salary: 766 EUR per week
Estimated Hourly Salary: 19 EUR per hour
By working as Senior Data Analyst a person can save up to 2,369 USD per month or 28,423 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 Senior 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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