Visualization Manager Data
Rp357.561.421 (IDR)/yr
Rp171.904,53 (IDR)/hr
Rp38.688.146 (IDR)/yr
The average visualization manager data gross salary in Mataram, Indonesia is Rp357.561.421 or an equivalent hourly rate of Rp171.905. This is 23% lower (-Rp104.092.360) than the average visualization manager data salary in Indonesia. In addition, they earn an average bonus of Rp38.688.146. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Mataram, Indonesia. An entry level visualization manager data (1-3 years of experience) earns an average salary of Rp254.200.689. On the other end, a senior level visualization manager data (8+ years of experience) earns an average salary of Rp416.041.572.
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Rp406.010.357 (IDR)
14 %
Based on our compensation data, the estimated salary potential for Visualization Manager Data will increase 14 % over 5 years.
This chart displays the highest level of education for:
Visualization Manager Data, the majority at 100% with bachelors.
Typical Field of Study: Business Administration and Management
See how education can impact your salaryThe cost of living in Mataram, Indonesia is 2% less than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageMataram (Indonesian: Kota Mataram; Indonesian pronunciation: [ˌkot̪a maˈt̪aram]) is a capital city of the Indonesian province of West Nusa Tenggara. The city is surrounded on all the landward sides by (but is not administratively part of) West Lombok Regency and lies on the western side of the island of Lombok, Indonesia. It is also the largest city of the province, and had a population of 402,843 at the 2010 Census and 429,651 at the 2020 Census; the official estimate as at mid 2023 was 441,147
Sourced from WikipediaERI'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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