Project Coordinator IT
977 300 ₽ (RUB)/yr
469,86 ₽ (RUB)/hr
17 591 ₽ (RUB)/yr
The average project coordinator it gross salary in Nizhny Novgorod, Russian Federation is 977 300 ₽ or an equivalent hourly rate of 470 ₽. This is 2% higher (+18 580 ₽) than the average project coordinator it salary in Russian Federation. In addition, they earn an average bonus of 17 591 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level project coordinator it (1-3 years of experience) earns an average salary of 723 558 ₽. On the other end, a senior level project coordinator it (8+ years of experience) earns an average salary of 1 207 940 ₽.
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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.
1 163 644 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Project Coordinator IT will increase 19 % over 5 years.
This chart displays the highest level of education for:
Project Coordinator IT, the majority at 54% with bachelors.
Typical Field of Study: Administrative Assistant and Secretarial Science
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.
View Cost of Living PageHow Much Should You Be Paid?
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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.