Analytics Engineer Data
Rp353.170.130 (IDR)/yr
Rp169.793,33 (IDR)/hr
Rp10.100.666 (IDR)/yr
The average analytics engineer data gross salary in Manado, Indonesia is Rp353.170.130 or an equivalent hourly rate of Rp169.793. This is 21% lower (-Rp94.406.594) than the average analytics engineer data salary in Indonesia. In addition, they earn an average bonus of Rp10.100.666. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Manado, Indonesia. An entry level analytics engineer data (1-3 years of experience) earns an average salary of Rp253.625.971. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of Rp407.885.366.
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Rp406.329.883 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 15 % over 5 years.
This chart displays the highest level of education for:
Analytics Engineer Data, 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 Manado, 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 PageManado (Indonesian pronunciation: [maˈnado], Tombulu: Wenang) is the capital city of the Indonesian province of North Sulawesi. It is the second largest city in Sulawesi after Makassar, with the 2020 census giving a population of 451,916, and the official estimates for mid 2023 showing 458,582 inhabitants (229,982 males and 228,600 females), distributed over a land area of 157.26 km2. The Manado metropolitan area had a population of 1,377,815 as of mid 2023. The city is situated on the Bay of M
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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