Analytics Engineer Data
Rp375.723.598 (IDR)/yr
Rp180.636,35 (IDR)/hr
Rp10.745.695 (IDR)/yr
The average analytics engineer data gross salary in Pekanbaru, Indonesia is Rp375.723.598 or an equivalent hourly rate of Rp180.636. This is 16% lower (-Rp72.060.721) than the average analytics engineer data salary in Indonesia. In addition, they earn an average bonus of Rp10.745.695. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Pekanbaru, Indonesia. An entry level analytics engineer data (1-3 years of experience) earns an average salary of Rp269.822.542. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of Rp433.932.951.
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Rp432.278.135 (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 Pekanbaru, 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 PagePekanbaru ([pəkanˈbaru]) is the capital city of the Indonesian province of Riau, and a major economic center on the eastern side of Sumatra Island with its name derived from the Malay (Indonesian) word for 'new market' ('pekan' is market and 'baru' is new). It has an area of 632.26 km2 (244.12 sq mi), with a population of 897,767 at the 2010 Census, and 983,356 at the 2020 Census; the official estimate as at mid 2024 was 1,167,599 (comprising 586,917 males and 580,682 females). It is located on
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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