Engineer Data Analytics
75 141 € (EUR)/yr
36,13 € (EUR)/hr
2 149 € (EUR)/yr
The average engineer data analytics gross salary in Rauma, Finland is 75 141 € or an equivalent hourly rate of 36 €. This is 1% higher (+1 086 €) than the average engineer data analytics salary in Finland. In addition, they earn an average bonus of 2 149 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Rauma, Finland. An entry level engineer data analytics (1-3 years of experience) earns an average salary of 53 185 €. On the other end, a senior level engineer data analytics (8+ years of experience) earns an average salary of 84 633 €.
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83 904 € (EUR)
12 %
Based on our compensation data, the estimated salary potential for Engineer Data Analytics will increase 12 % over 5 years.
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
See how education can impact your salaryThe cost of living in Rauma, Finland is 3% less than the average cost of living in Finland. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageRauma (Finnish: [ˈrɑu̯mɑ]; Swedish: Raumo) is a town in Finland, on the western coast of the country. Rauma is in the Satakunta region, by the Gulf of Bothnia. The population of Rauma is approximately 39,000, while the sub-region has a population of approximately 65,000. It is the 29th most populous municipality in Finland. Rauma lies 92 kilometres (57 mi) north of Turku and 50 kilometres (31 mi) south of Pori. Its neighbouring municipalities are Eura, Eurajoki, Laitila and Pyhäranta. Granted to
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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