Data Analytics Engineer
245,559 د.م. (MAD)/yr
118.06 د.م. (MAD)/hr
7,023 د.م. (MAD)/yr
The average data analytics engineer gross salary in Salé, Morocco is 245,559 د.م. or an equivalent hourly rate of 118 د.م.. This is 2% lower (-4,353 د.م.) than the average data analytics engineer salary in Morocco. In addition, they earn an average bonus of 7,023 د.م.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Salé, Morocco. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 174,785 د.م.. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 280,855 د.م..
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273,138 د.م. (MAD)
11 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 11 % over 5 years.
This chart displays the highest level of education for:
Data Analytics Engineer, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salary- SQL Certification
- Pega Certified Data Scientist (PCDS)
The cost of living in Salé, Morocco is 6% less than the average cost of living in Morocco. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSalé (Arabic: سلا, romanized: salā, [salaː]) is a city in northwestern Morocco, on the right bank of the Bou Regreg river, opposite the national capital Rabat, for which it serves as a commuter town. Along with some smaller nearby towns, Rabat and Salé together form a single metropolitan area. Founded in the 11th century, Sale became a medieval merchant port and entrepot. Salé became a haven for pirates in the 17th century as an independent republic before being incorporated into Alawi Morocco.
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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