Data Management Associate salary in Germany

Average Yearly Salary of Data Management Associate in Germany is approximately 53,465 EUR (53,631 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 Data Management Associate do?

A data management associate is responsible for organizing, analyzing, and maintaining large sets of data within an organization. This role involves collecting data from various sources, ensuring its accuracy and integrity, and developing efficient methods for storage and retrieval. Data management associates also collaborate with other teams to identify data requirements and implement appropriate solutions. They may be involved in data cleansing, data transformation, and data validation processes to ensure data quality. Additionally, they may assist in generating reports and providing insights based on the analyzed data.

Skills: data management, data analysis, data organization, data integrity, data cleansing, data validation
Job industry: Technology

How much does Data Management Associate make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Data Management Associate a well paid job?

Yes, our data show that Data Management Associate is an averagely well paid job that still allows for some yearly savings. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Management Associate?

High salary for Data Management Associate would be somewhere between 58,812 EUR and 77,524 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Management Associate 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: 53,465 EUR
Estimated Monthly Salary: 4,455 EUR
Estimated Weekly Salary: 1,028 EUR per week
Estimated Hourly Salary: 26 EUR per hour
By working as Data Management Associate a person can save up to 2,334 USD per month or 28,004 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 Data Management Associate

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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