A person working in Kiev earns around 25,000 UAH (USD 918/month). Typically, the average monthly wage ranges from a minimum of 6,320 UAH (lowest average) to a maximum of 111,000 UAH. And the median salary in Kiev is about 24,000 UAH (USD 881/month).

What is considered a good salary in Ukraine?

A person working in Kiev earns around 25,000 UAH (USD 918/month). Typically, the average monthly wage ranges from a minimum of 6,320 UAH (lowest average) to a maximum of 111,000 UAH. And the median salary in Kiev is about 24,000 UAH (USD 881/month).

What is data management job salary?

Data Manager salary in India ranges between ₹ 1.1 Lakhs to ₹ 31.1 Lakhs with an average annual salary of ₹ 4.2 Lakhs. Salary estimates are based on 270 salaries received from Data Managers.

What is the average salary in Ukraine?

Ukraine Annual Household Income per Capita data is updated yearly, available from Dec 1999 to Dec 2020, with an averaged value of 1,583.275 USD.

How much do jobs pay in Ukraine?

Ukraine’s Minimum Wage is the lowest amount a worker can be legally paid for his work. Most countries have a nation-wide minimum wage that all workers must be paid. The Ukraine minimim wage rate is 3200 Ukrainian hryven’ per month for all workers. (18.18 Ukrainian hryven’ per hour ($.

What are the responsibilities of Data Manager?

Data Manager responsibilities include: Formulating management techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data. Devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects.

Which job is best in Ukraine?

Top 10 the most highly-paid professions in Ukraine:

  • IT developer. On average, they receive from 45,000 UAH.
  • Dentist.
  • Aviation officer.
  • Media Buyer.
  • Commercial Director (Chief Commercial Officer).
  • National manager.
  • Chief Financial Officer.
  • Stock broker.

What do Grade 12 data managers learn?

Fundamental Concepts Covered in Grade 12 Online Course Students will apply methods for organizing and analysing large amounts of information; solve problems involving probability and statistics; and carry out a culminating investigation that integrates statistical concepts and skills.