Analytics Engineer Data
558.289 kr. (DKK)/yr
268,41 kr. (DKK)/hr
15.967 kr. (DKK)/yr
The average analytics engineer data gross salary in Silkeborg, Denmark is 558.289 kr. or an equivalent hourly rate of 268 kr.. This is 6% lower (-35.440 kr.) than the average analytics engineer data salary in Denmark. In addition, they earn an average bonus of 15.967 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Silkeborg, Denmark. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 395.522 kr.. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 629.879 kr..
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608.872 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 Silkeborg, Denmark is 6% 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 PageSilkeborg (Danish: [ˈse̝lkəˌpɒˀ]) is a Danish town with a population of 52,571 (1 January 2025). Silkeborg is the seat of Silkeborg Municipality, with a population of 101,574 as of 2025. Silkeborg is located in the middle of the Jutlandic peninsula, slightly west of the geographical centre of Denmark. The city is situated on the Gudenå River in the hilly and lush landscape of Søhøjlandet, surrounded by Denmark's largest forest district and a great number of lakes. Silkeborg is also known as Den
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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