Structured Query Language Data Analyst
696.480 kr. (DKK)/yr
334,85 kr. (DKK)/hr
22.636 kr. (DKK)/yr
The average structured query language data analyst gross salary in Randers, Denmark is 696.480 kr. or an equivalent hourly rate of 335 kr.. This is 8% lower (-57.847 kr.) than the average structured query language data analyst salary in Denmark. In addition, they earn an average bonus of 22.636 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Randers, Denmark. An entry level structured query language data analyst (1-3 years of experience) earns an average salary of 489.176 kr.. On the other end, a senior level structured query language data analyst (8+ years of experience) earns an average salary of 786.415 kr..
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758.092 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Structured Query Language Data Analyst will increase 9 % over 5 years.
This chart displays the highest level of education for:
Structured Query Language Data 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 Randers, Denmark is 8% 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 PageRanders (Danish: [ˈʁɑnɐs] ) is a city in Randers Municipality, Central Denmark Region on the Jutland peninsula. It is Denmark's sixth-largest city, with a population of 64,511 (as of 1 January 2025). Randers is the municipality's main town and the site of its municipal council. By road it is 38.5 kilometres (23.9 mi) north of Aarhus, 43.8 kilometres (27.2 mi) east of Viborg, and 224 kilometres (139 mi) northwest of Copenhagen. Randers became a thriving market town in medieval times, and many of
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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