Data Visualization Developer
1 897 271 ₽ (RUB)/yr
912,15 ₽ (RUB)/hr
71 717 ₽ (RUB)/yr
The average data visualization developer gross salary in Nizhny Novgorod, Russian Federation is 1 897 271 ₽ or an equivalent hourly rate of 912 ₽. This is 7% higher (+116 891 ₽) than the average data visualization developer salary in Russian Federation. In addition, they earn an average bonus of 71 717 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level data visualization developer (1-3 years of experience) earns an average salary of 1 365 654 ₽. On the other end, a senior level data visualization developer (8+ years of experience) earns an average salary of 2 372 336 ₽.
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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.
2 259 029 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Data Visualization Developer will increase 19 % over 5 years.
This chart displays the highest level of education for:
Data Visualization Developer, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
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.