Sales Compensation Analyst salary in Lithuania

Average Yearly Salary of Sales Compensation Analyst in Lithuania is approximately 33,792 EUR (33,588 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 Sales Compensation Analyst do?

A sales compensation analyst is responsible for designing, implementing, and managing the sales compensation plans within an organization. They analyze sales data, evaluate performance metrics, and collaborate with sales teams to develop effective compensation strategies that align with company goals and objectives. The role involves conducting market research to ensure competitive pay structures, monitoring sales performance, and making recommendations for adjustments or improvements to the compensation plans. Sales compensation analysts also play a crucial role in ensuring compliance with legal and regulatory requirements related to compensation practices.

Skills: sales compensation analyst, sales performance analysis, compensation strategy, sales data analysis, market research, compliance with regulations.
Job industry: Human resources

How much does Sales Compensation 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 Sales Compensation Analyst a well paid job?

Yes, our data shows that Sales Compensation 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 Sales Compensation Analyst?

High salary for Sales Compensation Analyst would be somewhere between 37,171 EUR and 48,998 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Sales Compensation 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: 33,792 EUR
Estimated Monthly Salary: 2,816 EUR
Estimated Weekly Salary: 650 EUR per week
Estimated Hourly Salary: 16 EUR per hour
By working as Sales Compensation Analyst a person can save up to 1,851 USD per month or 22,217 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 Sales Compensation 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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