Manager Data Processing
Rp548.895.626 (IDR)/yr
Rp263.892,13 (IDR)/hr
Rp38.642.252 (IDR)/yr
The average manager data processing gross salary in Jakarta, Indonesia is Rp548.895.626 or an equivalent hourly rate of Rp263.892. This is 12% higher (+Rp56.915.301) than the average manager data processing salary in Indonesia. In addition, they earn an average bonus of Rp38.642.252. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Jakarta, Indonesia. An entry level manager data processing (1-3 years of experience) earns an average salary of Rp387.963.496. On the other end, a senior level manager data processing (8+ years of experience) earns an average salary of Rp636.800.571.
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Rp631.823.390 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Manager Data Processing will increase 15 % over 5 years.
This chart displays the highest level of education for:
Manager Data Processing, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Jakarta, Indonesia is 11% more 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 PageJakarta, officially the Special Region of Jakarta, previously called the Special Capital Region of Jakarta, is the de facto capital and largest city of Indonesia and an autonomous region with administrative status equivalent to a province. Located on the northwest coast of Java, the world’s most populous island, the city borders the provinces of West Java and Banten and faces the Java Sea to the north. Although Jakarta covers about 662 square kilometres (256 square miles), the wider Jakarta met
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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