Specialist Data Management
1 093 313 ₽ (RUB)/yr
525,63 ₽ (RUB)/hr
37 063 ₽ (RUB)/yr
The average specialist data management gross salary in Nizhny Novgorod, Russian Federation is 1 093 313 ₽ or an equivalent hourly rate of 526 ₽. This is 7% higher (+67 358 ₽) than the average specialist data management salary in Russian Federation. In addition, they earn an average bonus of 37 063 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level specialist data management (1-3 years of experience) earns an average salary of 811 699 ₽. On the other end, a senior level specialist data management (8+ years of experience) earns an average salary of 1 349 084 ₽.
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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.
1 301 778 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Specialist Data Management will increase 19 % over 5 years.
This chart displays the highest level of education for:
Specialist Data Management, the majority at 100% with bachelors.
Typical Field of Study: Human Resources Management/Personnel 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.