Data Warehouse Analyst salary in Lithuania

Average Yearly Salary of Data Warehouse Analyst in Lithuania is approximately 38,011 EUR (37,985 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 Warehouse Analyst do?

A data warehouse analyst is responsible for designing, implementing, and maintaining data warehouses to support the organization's business intelligence needs. They work closely with business stakeholders to understand their requirements and translate them into data models and structures that can efficiently store and retrieve large volumes of data. The analyst is also responsible for ensuring data quality, integrity, and security within the data warehouse, as well as optimizing its performance. Key tasks of a data warehouse analyst include data extraction, transformation, and loading (ETL), data modeling, database administration, and creating reports and dashboards. They need to have a strong understanding of data warehousing concepts, SQL programming, and data analysis techniques. Excellent problem-solving skills and attention to detail are essential in this role.

Skills: Data Warehouse Analyst, Business Intelligence, Data Modeling, ETL, SQL Programming, Data Analysis
Job industry: Information technology

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

Yes, our data shows that Data Warehouse 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 Warehouse Analyst?

High salary for Data Warehouse Analyst would be somewhere between 41,812 EUR and 55,116 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Warehouse 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: 38,011 EUR
Estimated Monthly Salary: 3,168 EUR
Estimated Weekly Salary: 731 EUR per week
Estimated Hourly Salary: 18 EUR per hour
By working as Data Warehouse Analyst a person can save up to 2,218 USD per month or 26,614 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 Warehouse 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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