Enterprise Operations Manager
2 117 300 ₽ (RUB)/yr
1 017,93 ₽ (RUB)/hr
254 923 ₽ (RUB)/yr
The average enterprise operations manager gross salary in Nizhny Novgorod, Russian Federation is 2 117 300 ₽ or an equivalent hourly rate of 1 018 ₽. This is 6% higher (+111 866 ₽) than the average enterprise operations manager salary in Russian Federation. In addition, they earn an average bonus of 254 923 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level enterprise operations manager (1-3 years of experience) earns an average salary of 1 495 727 ₽. On the other end, a senior level enterprise operations manager (8+ years of experience) earns an average salary of 2 658 344 ₽.
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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.
2 521 012 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Enterprise Operations Manager will increase 19 % over 5 years.
This chart displays the highest level of education for:
Enterprise Operations Manager, the majority at 100% with bachelors.
Typical Field of Study: Entrepreneurship/Entrepreneurial Studies
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.