Engineer Data Analytics

554.424 kr. (DKK)/yr

266,55 kr. (DKK)/hr

15.857 kr. (DKK)/yr

The average engineer data analytics gross salary in Viborg, Denmark is 554.424 kr. or an equivalent hourly rate of 267 kr.. This is 7% lower (-39.334 kr.) than the average engineer data analytics salary in Denmark. In addition, they earn an average bonus of 15.857 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Viborg, Denmark. An entry level engineer data analytics (1-3 years of experience) earns an average salary of 392.783 kr.. On the other end, a senior level engineer data analytics (8+ years of experience) earns an average salary of 625.517 kr..

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Salary Potential

604.657 kr. (DKK)

9 %

Based on our compensation data, the estimated salary potential for Engineer Data Analytics will increase 9 % over 5 years.

Education

This chart displays the highest level of education for:
Engineer Data Analytics, the majority at 100% with bachelors.

Typical Field of Study: Data Modeling/Warehousing and Database Administration

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City Overview

Viborg, Denmark

The cost of living in Viborg, 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.

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Viborg (Danish pronunciation: [ˈviˌpɒˀ] ) is a city in central Jutland, Denmark, the capital of both Viborg municipality and Region Midtjylland. Viborg is also the seat of the Western High Court, the High Court for the Jutland peninsula. Viborg Municipality is the second-largest Danish municipality, covering 3.3% of the country's total land area.

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This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI'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.

Job Description
Develops the data extraction and preparation processes. Runs data quality audits and identifies issues with data collection. Implements improvements and fixes to data collection processes. Oversees SQL databases that can be large and complex.
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