Accounts Supervisor
1 786 234 ₽ (RUB)/yr
858,77 ₽ (RUB)/hr
123 250 ₽ (RUB)/yr
The average accounts supervisor gross salary in Nizhny Novgorod, Russian Federation is 1 786 234 ₽ or an equivalent hourly rate of 859 ₽. This is 1% lower (-24 335 ₽) than the average accounts supervisor salary in Russian Federation. In addition, they earn an average bonus of 123 250 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level accounts supervisor (1-3 years of experience) earns an average salary of 1 278 382 ₽. On the other end, a senior level accounts supervisor (8+ years of experience) earns an average salary of 2 237 169 ₽.
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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.
2 126 820 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Accounts Supervisor will increase 19 % over 5 years.
This chart displays the highest level of education for:
Accounts Supervisor, the majority at 52% with bachelors.
Typical Field of Study: General Merchandising, Sales, and Related Marketing Operations
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.