Business Analyst Data Warehouse salary in Lithuania

Average Yearly Salary of Business Analyst Data Warehouse in Lithuania is approximately 36,753 EUR (36,579 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 Business Analyst Data Warehouse do?

A Business Analyst in Data Warehousing is responsible for analyzing and interpreting complex data sets to provide valuable insights to an organization. They collaborate with stakeholders to identify business requirements and translate them into data warehouse solutions. The Business Analyst works closely with the IT team to design, develop, and implement data models, ETL processes, and reporting tools. They also ensure data quality and integrity by performing data validation and cleansing activities.

Skills: Business Analysis, Data Warehousing, Data Analysis, ETL Processes, Reporting Tools, Data Quality
Job industry: Information technology

How much does Business Analyst Data Warehouse make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Business Analyst Data Warehouse a well paid job?

Yes, our data shows that Business Analyst Data Warehouse 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 Business Analyst Data Warehouse?

High salary for Business Analyst Data Warehouse would be somewhere between 40,428 EUR and 53,292 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Business Analyst Data Warehouse 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: 36,753 EUR
Estimated Monthly Salary: 3,063 EUR
Estimated Weekly Salary: 707 EUR per week
Estimated Hourly Salary: 18 EUR per hour
By working as Business Analyst Data Warehouse a person can save up to 2,101 USD per month or 25,208 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 Business Analyst Data Warehouse

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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