Analytics Engineer Data
632.911 kr. (DKK)/yr
304,28 kr. (DKK)/hr
18.101 kr. (DKK)/yr
The average analytics engineer data gross salary in Copenhagen, Denmark is 632.911 kr. or an equivalent hourly rate of 304 kr.. This is 7% higher (+39.182 kr.) than the average analytics engineer data salary in Denmark. In addition, they earn an average bonus of 18.101 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Copenhagen, Denmark. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 448.387 kr.. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 714.069 kr..
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690.255 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 9 % over 5 years.
This chart displays the highest level of education for:
Analytics Engineer Data, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Copenhagen, Denmark is 26% 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 PageCopenhagen (Danish: København [kʰøpm̩ˈhɑwˀn] ) is the capital and most populous city of both the country of Denmark and the wider Kingdom of Denmark, with a population of 667,000 people in the municipality and 1.4 million in the urban area. The city is situated mainly on the island of Zealand (Sjælland), with a smaller part on the island of Amager. Copenhagen is separated from Malmö, Sweden, by the Øresund strait. The Øresund Bridge connects the two cities by rail and road. Originally a Viking 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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