IT Data Security Coordinator
734.660 kr. (DKK)/yr
353,20 kr. (DKK)/hr
28.946 kr. (DKK)/yr
The average it data security coordinator gross salary in Odense, Denmark is 734.660 kr. or an equivalent hourly rate of 353 kr.. This is 6% lower (-46.600 kr.) than the average it data security coordinator salary in Denmark. In addition, they earn an average bonus of 28.946 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Odense, Denmark. An entry level it data security coordinator (1-3 years of experience) earns an average salary of 516.739 kr.. On the other end, a senior level it data security coordinator (8+ years of experience) earns an average salary of 826.400 kr..
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798.864 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for IT Data Security Coordinator will increase 9 % over 5 years.
This chart displays the highest level of education for:
IT Data Security Coordinator, the majority at 49% with bachelors.
Typical Field of Study: Computer and Information Systems Security/Information Assurance Training
See how education can impact your salaryThe cost of living in Odense, Denmark is 2% 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 PageOdense ( OH-dən-sə, US also OH-thən-sə; Danish: [ˈoðˀn̩sə] ) is the third largest city in Denmark (after Copenhagen and Aarhus) and the largest city on the island of Funen. As of 1 January 2025, the city proper had a population of 185,480 while Odense Municipality had a population of 210,803, making it the fourth largest municipality in Denmark (behind Copenhagen, Aarhus and Aalborg municipalities). Eurostat and OECD have used a definition for the Metropolitan area of Odense (referred to as a F
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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