Classification Analyst salary in Germany

Average Yearly Salary of Classification Analyst in Germany is approximately 64,812 EUR (65,281 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 Classification Analyst do?

A classification analyst is responsible for analyzing and categorizing data, documents, or information according to specific criteria or standards. They typically work in industries such as finance, insurance, government, or research, where accurate classification and organization of data is crucial. The occupation involves reviewing and interpreting data, applying classification rules or guidelines, and ensuring consistency and accuracy in the classification process. Classification analysts may also be involved in developing or improving classification systems, creating reports or summaries based on the classified data, and collaborating with other teams or departments to ensure effective data management.

Skills: classification, analysis, data management, categorization, accuracy, organization
Job industry: Data analysis

How much does Classification 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 Classification Analyst a well paid job?

Yes, our data shows that Classification 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 Classification Analyst?

High salary for Classification Analyst would be somewhere between 71,293 EUR and 93,977 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Classification Analyst in Germany?

Living in Germany the approximate monthly expenses are: 2,136 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: 64,812 EUR
Estimated Monthly Salary: 5,401 EUR
Estimated Weekly Salary: 1,246 EUR per week
Estimated Hourly Salary: 31 EUR per hour
By working as Classification Analyst a person can save up to 3,304 USD per month or 39,654 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 Germany, see costs of living in Germany.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Austria, Belgium, Czech Republic, Denmark, France, Luxembourg, Netherlands, Poland, Switzerland.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Classification 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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