Analytics Engineer Data
627.356 kr (SEK)/yr
301,61 kr (SEK)/hr
17.942 kr (SEK)/yr
The average analytics engineer data gross salary in Gavle, Sweden is 627.356 kr or an equivalent hourly rate of 302 kr. This is 2% lower (-12.805 kr) than the average analytics engineer data salary in Sweden. In addition, they earn an average bonus of 17.942 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Gavle, Sweden. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 444.584 kr. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 708.197 kr.
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701.063 kr (SEK)
12 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 12 % 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 Gavle, Sweden is 3% less than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageGävle ( YEV-lay or YEV-lə; Swedish: [ˈjɛ̌ːvlɛ] ) is a city in Sweden, the seat of Gävle Municipality and the capital and largest city of Gävleborg County. It had 79,004 inhabitants in 2020, which makes it the 13th-most-populated city in Sweden. It is the oldest city in Norrland, having received its charter in 1446 from Christopher of Bavaria and lying around 14 kilometres (8.7 mi) northwest of Dalälven, the traditional boundary line between Norrland and Svealand. The location of the city also gi
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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