Divisional Merchandise Manager
2 188 507 ₽ (RUB)/yr
1 052,17 ₽ (RUB)/hr
159 761 ₽ (RUB)/yr
The average divisional merchandise manager gross salary in Nizhny Novgorod, Russian Federation is 2 188 507 ₽ or an equivalent hourly rate of 1 052 ₽. This is 1% higher (+24 936 ₽) than the average divisional merchandise manager salary in Russian Federation. In addition, they earn an average bonus of 159 761 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level divisional merchandise manager (1-3 years of experience) earns an average salary of 1 555 031 ₽. On the other end, a senior level divisional merchandise manager (8+ years of experience) earns an average salary of 2 745 497 ₽.
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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.
2 605 796 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Divisional Merchandise Manager will increase 19 % over 5 years.
This chart displays the highest level of education for:
Divisional Merchandise Manager, the majority at 64% with bachelors.
Typical Field of Study: Retailing and Retail 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.
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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.