Data Processing Manager
712.074 kr. (DKK)/yr
342,34 kr. (DKK)/hr
50.130 kr. (DKK)/yr
The average data processing manager gross salary in Næstved, Denmark is 712.074 kr. or an equivalent hourly rate of 342 kr.. This is 6% lower (-43.618 kr.) than the average data processing manager salary in Denmark. In addition, they earn an average bonus of 50.130 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Næstved, Denmark. An entry level data processing manager (1-3 years of experience) earns an average salary of 496.510 kr.. On the other end, a senior level data processing manager (8+ years of experience) earns an average salary of 806.725 kr..
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774.304 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Data Processing Manager will increase 9 % over 5 years.
This chart displays the highest level of education for:
Data Processing Manager, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salary- Microsoft Systems Engineer - MCSE - Microsoft
- Microsoft Certified Solution Developer - MCSD - Microsoft
The cost of living in Næstved, Denmark is 0% less than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageNæstved (Danish pronunciation: [ˈnestve̝ð]) is a town in the municipality of the same name, located in the southern part of the island of Zealand in Denmark. Næstved has several adult education centers, five elementary schools - and has at least one of each type of the four upper-second-level education centers. The city has the largest high school in Denmark, Næstved Gymnasium & HF.
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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