Inventory Control Coordinator
926 056 ₽ (RUB)/yr
445,22 ₽ (RUB)/hr
15 650 ₽ (RUB)/yr
The average inventory control coordinator gross salary in Nizhny Novgorod, Russian Federation is 926 056 ₽ or an equivalent hourly rate of 445 ₽. This is 7% higher (+57 054 ₽) than the average inventory control coordinator salary in Russian Federation. In addition, they earn an average bonus of 15 650 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level inventory control coordinator (1-3 years of experience) earns an average salary of 691 332 ₽. On the other end, a senior level inventory control coordinator (8+ years of experience) earns an average salary of 1 139 842 ₽.
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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.
1 102 630 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Inventory Control Coordinator will increase 19 % over 5 years.
This chart displays the highest level of education for:
Inventory Control Coordinator, the majority at 100% with high schools.
Typical Field of Study: Logistics, Materials, and Supply Chain 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.