Commodities Requirements Analyst
724 348 ₽ (RUB)/yr
348,24 ₽ (RUB)/hr
10 431 ₽ (RUB)/yr
The average commodities requirements analyst gross salary in Nizhny Novgorod, Russian Federation is 724 348 ₽ or an equivalent hourly rate of 348 ₽. This is 2% higher (+17 539 ₽) than the average commodities requirements analyst salary in Russian Federation. In addition, they earn an average bonus of 10 431 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level commodities requirements analyst (1-3 years of experience) earns an average salary of 550 434 ₽. On the other end, a senior level commodities requirements analyst (8+ years of experience) earns an average salary of 882 631 ₽.
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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.
862 462 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Commodities Requirements Analyst will increase 19 % over 5 years.
This chart displays the highest level of education for:
Commodities Requirements Analyst, the majority at 100% with masters.
Typical Field of Study: Manufacturing Engineering
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.