Sap Bw Analyst salary in Lithuania

Average Yearly Salary of Sap Bw Analyst in Lithuania is approximately 32,073 EUR (32,027 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 Sap Bw Analyst do?

A SAP BW (Business Warehouse) Analyst is responsible for analyzing, designing, and implementing data warehousing solutions using SAP BW. They work closely with business users to understand their requirements and translate them into technical specifications. The analyst develops and maintains data models, extracts data from various sources, transforms and loads it into the data warehouse, and creates reports and dashboards for business users. They perform data analysis to identify trends, patterns, and insights that help in making informed business decisions. Additionally, they troubleshoot and resolve data-related issues, optimize data performance, and ensure data quality and integrity. Strong analytical skills, knowledge of SAP BW, data modeling expertise, proficiency in SQL, and excellent communication skills are essential for this role.

Skills: SAP BW, Data Warehousing, Data Analysis, Data Modeling, Reporting, Business Intelligence
Job industry: Information technology

How much does Sap Bw 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 Sap Bw Analyst a well paid job?

Yes, our data shows that Sap Bw 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 Sap Bw Analyst?

High salary for Sap Bw Analyst would be somewhere between 35,280 EUR and 46,506 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Sap Bw 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: 32,073 EUR
Estimated Monthly Salary: 2,673 EUR
Estimated Weekly Salary: 617 EUR per week
Estimated Hourly Salary: 15 EUR per hour
By working as Sap Bw Analyst a person can save up to 1,721 USD per month or 20,656 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 Sap Bw 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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