Structured Query Language Analyst
695.341 kr. (DKK)/yr
334,30 kr. (DKK)/hr
22.599 kr. (DKK)/yr
The average structured query language analyst gross salary in Kolding, Denmark is 695.341 kr. or an equivalent hourly rate of 334 kr.. This is 8% lower (-59.409 kr.) than the average structured query language analyst salary in Denmark. In addition, they earn an average bonus of 22.599 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kolding, Denmark. An entry level structured query language analyst (1-3 years of experience) earns an average salary of 488.376 kr.. On the other end, a senior level structured query language analyst (8+ years of experience) earns an average salary of 785.129 kr..
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756.852 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Structured Query Language Analyst will increase 9 % over 5 years.
This chart displays the highest level of education for:
Structured Query Language Analyst, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Kolding, Denmark is 7% 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 PageKolding (Danish pronunciation: [ˈkʰʌle̝ŋ]) is a Danish seaport city located at the head of Kolding Fjord in the Region of Southern Denmark. It is the seat of Kolding Municipality. It is a transportation, commercial, and manufacturing centre and has numerous industrial companies, principally geared towards shipbuilding. The manufacturing of machinery and textiles and livestock export are other economically significant activities. With a population of 95,897 (1 January 2025), the Kolding municipal
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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