Assistant Data Analyst

978 260 ₽ (RUB)/yr

470,32 ₽ (RUB)/hr

39 815 ₽ (RUB)/yr

The average assistant data analyst gross salary in Nizhny Novgorod, Russian Federation is 978 260 ₽ or an equivalent hourly rate of 470 ₽. This is 4% higher (+36 594 ₽) than the average assistant data analyst salary in Russian Federation. In addition, they earn an average bonus of 39 815 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level assistant data analyst (1-3 years of experience) earns an average salary of 696 103 ₽. On the other end, a senior level assistant data analyst (8+ years of experience) earns an average salary of 1 226 227 ₽.

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1 164 787 ₽ (RUB)

19 %

Based on our compensation data, the estimated salary potential for Assistant Data Analyst will increase 19 % over 5 years.

Education data not available for this job

Nizhny Novgorod, Russian Federation

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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Executes complex statistical and clerical tasks in support of a data analysis team. Monitors the progress of projects. Completes data acquisition initiatives in support of data projects and the development of data products. Acts as point of contact for the data analytics team and responds to requests for data. Researches a wide range of subject matters and prepares, reviews, and... disseminates ad hoc reports. Interprets and models large amounts of data to forecast trends and assist in the achievement of long and short-term organizational or project objectives. Communicates actionable information from data sets and provides data insight to stakeholders and clients. Translates qualitative data into quantitative data, and quantitative data into qualitative data. Utilizes query languages such as SQL and Python to access, input, update, organize, and model data. Writes reusable and automated queries. Converses with data analytics, developer, retail, marketing, sales, and executive team members to understand and meet the data needs of the organization. Read More

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Disclaimer

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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.

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