Manager Data Processing salary in Lithuania

Average Yearly Salary of Manager Data Processing in Lithuania is approximately 28,494 EUR (28,625 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 Manager Data Processing do?

A Manager of Data Processing is responsible for overseeing and managing the entire data processing function within an organization. They are in charge of ensuring the efficient and accurate processing of large volumes of data, including data entry, data validation, data cleansing, and data analysis. This role involves developing and implementing data processing strategies, policies, and procedures, as well as managing a team of data processing professionals. The Manager of Data Processing plays a crucial role in ensuring data integrity, security, and compliance with relevant regulations. They collaborate with other departments to understand their data processing needs and provide solutions accordingly. Additionally, they stay updated with the latest technologies and trends in data processing to optimize operations and improve efficiency.

Skills: Manager Data Processing, Data Processing Manager, Data Management, Data Analysis, Data Integrity, Data Security.
Job industry: Information technology

How much does Manager Data Processing make?

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


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Salary comparison to National average

Is Manager Data Processing a well paid job?

Yes, our data shows that Manager Data Processing 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 Manager Data Processing?

High salary for Manager Data Processing would be somewhere between 31,343 EUR and 41,316 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Manager Data Processing 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: 28,494 EUR
Estimated Monthly Salary: 2,375 EUR
Estimated Weekly Salary: 548 EUR per week
Estimated Hourly Salary: 14 EUR per hour
By working as Manager Data Processing a person can save up to 1,438 USD per month or 17,254 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 Manager Data Processing

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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