Analytics Manager salary in Lithuania

Average Yearly Salary of Analytics Manager in Lithuania is approximately 47,066 EUR (46,923 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 Analytics Manager do?

An analytics manager is responsible for overseeing and managing the collection, analysis, and interpretation of data to drive strategic decision-making within an organization. They lead a team of data analysts, ensuring the accuracy and integrity of data, as well as the development of insightful reports and recommendations. The analytics manager collaborates with various departments to identify business needs and goals, and then designs and implements appropriate data analysis strategies. They also stay updated on emerging trends and technologies in data analytics and make recommendations for process improvements. This role requires strong analytical skills, proficiency in statistical analysis tools, and the ability to communicate complex findings to non-technical stakeholders.

Skills: Analytics Manager, Data Analysis, Strategic Decision-making, Data Interpretation, Team Management, Statistical Analysis
Job industry: Technology

How much does Analytics Manager make?

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


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Salary comparison to National average

Is Analytics Manager a well paid job?

Yes, our data show that Analytics Manager is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Analytics Manager?

High salary for Analytics Manager would be somewhere between 51,773 EUR and 68,246 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Analytics Manager 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: 47,066 EUR
Estimated Monthly Salary: 3,922 EUR
Estimated Weekly Salary: 905 EUR per week
Estimated Hourly Salary: 23 EUR per hour
By working as Analytics Manager a person can save up to 2,963 USD per month or 35,552 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 Analytics Manager

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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