Data Warehouse Manager
2 443 536 ₽ (RUB)/yr
1 174,78 ₽ (RUB)/hr
188 885 ₽ (RUB)/yr
The average data warehouse manager gross salary in Nizhny Novgorod, Russian Federation is 2 443 536 ₽ or an equivalent hourly rate of 1 175 ₽. This is 7% higher (+150 546 ₽) than the average data warehouse manager salary in Russian Federation. In addition, they earn an average bonus of 188 885 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level data warehouse manager (1-3 years of experience) earns an average salary of 1 723 678 ₽. On the other end, a senior level data warehouse manager (8+ years of experience) earns an average salary of 3 067 946 ₽.
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ERI’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.
2 909 452 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Data Warehouse Manager will increase 19 % over 5 years.
This chart displays the highest level of education for:
Data Warehouse Manager, 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 Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’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.