Senior Data Quality Analyst salary in Lithuania

Average Yearly Salary of Senior Data Quality Analyst in Lithuania is approximately 37,343 EUR (37,420 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 Quality Analyst do?

A Senior Data Quality Analyst is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They develop and implement data quality standards, policies, and procedures to ensure data integrity and reliability. They analyze data sets to identify and resolve data quality issues, such as duplication, inconsistency, and formatting errors. They collaborate with cross-functional teams to establish data quality metrics and monitor performance against them. They also provide guidance and training to junior analysts, as well as recommendations for process improvements to enhance data quality. A Senior Data Quality Analyst must have a strong understanding of data management principles, data governance practices, and data quality tools and techniques.

Skills: Senior Data Quality Analyst, Data Management, Data Governance, Data Integrity, Data Quality Assurance, Data Analysis
Job industry: Information technology

How much does Senior Data Quality Analyst make?

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


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Salary comparison to National average

Is Senior Data Quality Analyst a well paid job?

Yes, our data shows that Senior Data Quality 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 Quality Analyst?

High salary for Senior Data Quality Analyst would be somewhere between 41,077 EUR and 54,147 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Senior Data Quality 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: 37,343 EUR
Estimated Monthly Salary: 3,112 EUR
Estimated Weekly Salary: 718 EUR per week
Estimated Hourly Salary: 18 EUR per hour
By working as Senior Data Quality Analyst a person can save up to 2,171 USD per month or 26,049 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 Quality 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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