Digital Marketing Assistant
688 756 ₽ (RUB)/yr
331,13 ₽ (RUB)/hr
19 285 ₽ (RUB)/yr
The average digital marketing assistant gross salary in Nizhny Novgorod, Russian Federation is 688 756 ₽ or an equivalent hourly rate of 331 ₽. This is 0% lower (+26 ₽) than the average digital marketing assistant salary in Russian Federation. In addition, they earn an average bonus of 19 285 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level digital marketing assistant (1-3 years of experience) earns an average salary of 507 097 ₽. On the other end, a senior level digital marketing assistant (8+ years of experience) earns an average salary of 853 425 ₽.
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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.
820 083 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Digital Marketing Assistant will increase 19 % over 5 years.
This chart displays the highest level of education for:
Digital Marketing Assistant, the majority at 100% with bachelors.
Typical Field of Study: Business and Personal/Financial Services Marketing Operations
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.