Data Consultant salary in Lithuania

Average Yearly Salary of Data Consultant in Lithuania is approximately 40,087 EUR (40,059 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 Consultant do?

A data consultant is a professional who helps organizations make informed decisions by analyzing and interpreting large sets of data. They work closely with clients to understand their business goals and challenges, and then use statistical techniques and data analysis tools to extract valuable insights from complex data sets. Data consultants are responsible for identifying trends, patterns, and correlations in the data that can provide useful information for decision-making. Some key responsibilities of a data consultant include data collection and cleaning, data modeling and visualization, and creating reports and presentations to communicate findings to stakeholders. They may also be involved in developing data strategies, implementing data management systems, and providing training and support to staff members.

Skills: Data analysis, Data interpretation, Statistical techniques, Data modeling, Data visualization, Decision-making
Job industry: Consulting

How much does Data Consultant 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 Consultant a well paid job?

Yes, our data shows that Data Consultant 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 Consultant?

High salary for Data Consultant would be somewhere between 44,096 EUR and 58,126 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Consultant 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: 40,087 EUR
Estimated Monthly Salary: 3,341 EUR
Estimated Weekly Salary: 771 EUR per week
Estimated Hourly Salary: 19 EUR per hour
By working as Data Consultant a person can save up to 2,391 USD per month or 28,688 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 Consultant

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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