Analytics Engineer Data
75.524 € (EUR)/yr
36,31 € (EUR)/hr
2.160 € (EUR)/yr
The average analytics engineer data gross salary in Cottbus, Germany is 75.524 € or an equivalent hourly rate of 36 €. This is 10% lower (-8.112 €) than the average analytics engineer data salary in Germany. In addition, they earn an average bonus of 2.160 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Cottbus, Germany. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 53.552 €. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 85.350 €.
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86.069 € (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 Cottbus, Germany is 2% less 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 PageCottbus (German pronunciation: [ˈkɔtbʊs] ) or Chóśebuz (Lower Sorbian pronunciation: [ˈxɨɕɛbus]) is a university city and the second-largest city in the German state of Brandenburg after the state capital, Potsdam. With around 100,000 inhabitants, Cottbus is the most populous city in Lusatia. Cottbus lies in the Sorbian settlement area (Serbski sedleński rum) of Lower Lusatia, and is the second-largest city on the River Spree after Berlin, which is situated around 125 km (78 mi) downstream. The
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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