Director Fast Food Operations
2 505 234 ₽ (RUB)/yr
1 204,44 ₽ (RUB)/hr
336 954 ₽ (RUB)/yr
The average director fast food operations gross salary in Nizhny Novgorod, Russian Federation is 2 505 234 ₽ or an equivalent hourly rate of 1 204 ₽. This is 13% higher (+287 918 ₽) than the average director fast food operations salary in Russian Federation. In addition, they earn an average bonus of 336 954 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level director fast food operations (1-3 years of experience) earns an average salary of 1 754 319 ₽. On the other end, a senior level director fast food operations (8+ years of experience) earns an average salary of 3 153 137 ₽.
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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.
2 982 914 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Director Fast Food Operations will increase 19 % over 5 years.
This chart displays the highest level of education for:
Director Fast Food Operations, the majority at 64% with high schools.
Typical Field of Study: Restaurant/Food Services Management
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.