Audit Electronic Data Processing Supervisor
1 928 808 ₽ (RUB)/yr
927,31 ₽ (RUB)/hr
90 075 ₽ (RUB)/yr
The average audit electronic data processing supervisor gross salary in Nizhny Novgorod, Russian Federation is 1 928 808 ₽ or an equivalent hourly rate of 927 ₽. This is 6% higher (+101 908 ₽) than the average audit electronic data processing supervisor salary in Russian Federation. In addition, they earn an average bonus of 90 075 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level audit electronic data processing supervisor (1-3 years of experience) earns an average salary of 1 358 603 ₽. On the other end, a senior level audit electronic data processing supervisor (8+ years of experience) earns an average salary of 2 423 669 ₽.
This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
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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.
2 296 579 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Audit Electronic Data Processing Supervisor will increase 19 % over 5 years.
Education data not available for this job
The 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.