Analyst Compensation
1 456 257 ₽ (RUB)/yr
700,12 ₽ (RUB)/hr
57 813 ₽ (RUB)/yr
The average analyst compensation gross salary in Nizhny Novgorod, Russian Federation is 1 456 257 ₽ or an equivalent hourly rate of 700 ₽. This is 7% higher (+89 719 ₽) than the average analyst compensation salary in Russian Federation. In addition, they earn an average bonus of 57 813 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level analyst compensation (1-3 years of experience) earns an average salary of 1 042 222 ₽. On the other end, a senior level analyst compensation (8+ years of experience) earns an average salary of 1 823 889 ₽.
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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.
1 733 925 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Analyst Compensation will increase 19 % over 5 years.
This chart displays the highest level of education for:
Analyst Compensation, the majority at 59% with bachelors.
Typical Field of Study: Human Resources Management/Personnel Administration
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.