Data Analyst (SQL)
74.402 € (EUR)/yr
35,77 € (EUR)/hr
2.418 € (EUR)/yr
The average data analyst (sql) gross salary in Stuttgart, Germany is 74.402 € or an equivalent hourly rate of 36 €. This is 1% higher (+1.018 €) than the average data analyst (sql) salary in Germany. In addition, they earn an average bonus of 2.418 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Stuttgart, Germany. An entry level data analyst (sql) (1-3 years of experience) earns an average salary of 52.303 €. On the other end, a senior level data analyst (sql) (8+ years of experience) earns an average salary of 84.151 €.
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85.039 € (EUR)
14 %
Based on our compensation data, the estimated salary potential for Data Analyst (SQL) will increase 14 % over 5 years.
This chart displays the highest level of education for:
Data Analyst (SQL), 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 Stuttgart, Germany is 21% 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 PageStuttgart (; German: [ˈʃtʊtɡaʁt] ; Swabian: Schduagert [ˈʃd̥ua̯ɡ̊ɛʕd̥]; Alemannic: Stuttgart; names in other languages) is the capital and largest city of the German state of Baden-Württemberg. It is located on the Neckar river in a fertile valley known as the Stuttgarter Kessel (Stuttgart Cauldron) and lies an hour from the Swabian Jura and the Black Forest. Stuttgart has a population of 613,111 as of 2023, making it the sixth largest city in Germany, while over 2.8 million people live in 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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