Structured Query Language Analyst
75.154 € (EUR)/yr
36,13 € (EUR)/hr
2.443 € (EUR)/yr
The average structured query language analyst gross salary in Dortmund, Germany is 75.154 € or an equivalent hourly rate of 36 €. This is 2% higher (+1.737 €) than the average structured query language analyst salary in Germany. In addition, they earn an average bonus of 2.443 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Dortmund, Germany. An entry level structured query language analyst (1-3 years of experience) earns an average salary of 52.831 €. On the other end, a senior level structured query language analyst (8+ years of experience) earns an average salary of 85.001 €.
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85.898 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Structured Query Language Analyst will increase 14 % over 5 years.
This chart displays the highest level of education for:
Structured Query Language Analyst, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Dortmund, Germany is 8% 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 PageDortmund (German: [ˈdɔʁtmʊnt] ; Westphalian: Düörpm [ˈdyːœɐ̯pm̩]; Latin: Tremonia) is a city in the German state of North Rhine-Westphalia. It is the third-largest city in the state, after Cologne and Düsseldorf, and the ninth-largest city in the country. With a population of 614,495 inhabitants, it is the largest city (by area and population) of the Ruhr as well as the largest city of Westphalia. It lies on the Emscher and Ruhr rivers (tributaries of the Rhine) in the Rhine-Ruhr Metropolitan Re
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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