Analytics Engineer Data
86.198 € (EUR)/yr
41,44 € (EUR)/hr
2.465 € (EUR)/yr
The average analytics engineer data gross salary in Regensburg, Germany is 86.198 € or an equivalent hourly rate of 41 €. This is 3% higher (+2.556 €) than the average analytics engineer data salary in Germany. In addition, they earn an average bonus of 2.465 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Regensburg, Germany. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 61.121 €. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 97.413 €.
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98.234 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 14 % 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 Regensburg, Germany is 3% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageRegensburg (historically known in English as Ratisbon, RAT-is-bon) is a city in eastern Bavaria, at the confluence of the rivers Danube, Naab and Regen, Danube's northernmost point. It is the capital of the Upper Palatinate subregion of the state. With more than 150,000 inhabitants, Regensburg is the fourth-largest city in the State of Bavaria after Munich, Nuremberg and Augsburg and the eighth-largest of all cities on the river Danube. From its foundation as an imperial Roman river fort, the c
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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