Structured Query Language Analyst
730.411 kr. (DKK)/yr
351,16 kr. (DKK)/hr
23.738 kr. (DKK)/yr
The average structured query language analyst gross salary in Greve Strand, Denmark is 730.411 kr. or an equivalent hourly rate of 351 kr.. This is 3% lower (-24.867 kr.) than the average structured query language analyst salary in Denmark. In addition, they earn an average bonus of 23.738 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Greve Strand, Denmark. An entry level structured query language analyst (1-3 years of experience) earns an average salary of 513.007 kr.. On the other end, a senior level structured query language analyst (8+ years of experience) earns an average salary of 824.727 kr..
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795.025 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 Greve Strand, Denmark is 3% more 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 PageGreve Municipality (Danish: Greve Kommune is a kommune about 21 km south-west of Copenhagen in Region Sjælland on the east coast of the island of Zealand (Sjælland) in eastern Denmark. The municipality covers an area of 60 km2, and has a total population of 53,536 (2025). The site of its municipal council is the town of Greve Strand. It serves primarily as a residential municipality, functioning as a suburb for the larger Copenhagen area.
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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