Service Correspondent
733 357 ₽ (RUB)/yr
352,58 ₽ (RUB)/hr
15 254 ₽ (RUB)/yr
The average service correspondent gross salary in Nizhny Novgorod, Russian Federation is 733 357 ₽ or an equivalent hourly rate of 353 ₽. This is 0% lower (+28 ₽) than the average service correspondent salary in Russian Federation. In addition, they earn an average bonus of 15 254 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level service correspondent (1-3 years of experience) earns an average salary of 555 771 ₽. On the other end, a senior level service correspondent (8+ years of experience) earns an average salary of 895 116 ₽.
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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.
873 188 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Service Correspondent will increase 19 % over 5 years.
This chart displays the highest level of education for:
Service Correspondent, the majority at 50% with associates.
Typical Field of Study: Administrative Assistant and Secretarial Science
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.