Operationsdata Analyst salary in Lithuania

Average Yearly Salary of Operationsdata Analyst in Lithuania is approximately 30,181 EUR (30,206 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 Operationsdata Analyst do?

The occupation of an Operations Data Analyst involves analyzing and interpreting large sets of data to provide insights and recommendations for improving operational efficiency. They work closely with various teams within an organization to identify key performance indicators, collect relevant data, and develop reports and dashboards to track and monitor operational metrics. Operations Data Analysts use statistical techniques and data visualization tools to identify trends, patterns, and anomalies in the data, and communicate their findings to stakeholders. They also collaborate with cross-functional teams to develop strategies for process improvement, cost reduction, and risk mitigation. This role requires strong analytical skills, proficiency in data analysis tools such as SQL and Excel, and the ability to effectively communicate complex information to non-technical stakeholders.

Skills: Operations Data Analyst, Data Analysis, Operational Efficiency, Performance Metrics, Process Improvement, Data Visualization
Job industry: Technology

How much does Operationsdata 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 Operationsdata Analyst a well paid job?

Yes, our data shows that Operationsdata 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 Operationsdata Analyst?

High salary for Operationsdata Analyst would be somewhere between 33,199 EUR and 43,762 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Operationsdata 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: 30,181 EUR
Estimated Monthly Salary: 2,515 EUR
Estimated Weekly Salary: 580 EUR per week
Estimated Hourly Salary: 15 EUR per hour
By working as Operationsdata Analyst a person can save up to 1,570 USD per month or 18,835 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 Operationsdata 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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