Data Analytics Engineer

213,383 ر.س.‏ (SAR)/yr

102.59 ر.س.‏ (SAR)/hr

6,103 ر.س.‏ (SAR)/yr

The average data analytics engineer gross salary in Saudi Arabia is 213,383 ر.س.‏ or an equivalent hourly rate of 103 ر.س.‏. In addition, they earn an average bonus of 6,103 ر.س.‏. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Saudi Arabia. An entry level data analytics engineer (1-3 years of experience) earns an average salary of 152,054 ر.س.‏. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of 244,705 ر.س.‏.

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Salary Potential

238,490 ر.س.‏ (SAR)

12 %

Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 12 % over 5 years.

Education

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

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Country Overview

Saudi Arabia

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Saudi Arabia, officially the Kingdom of Saudi Arabia (KSA), is a country in West Asia. Located in the centre of the Middle East, it covers the bulk of the Arabian Peninsula and has a land area of about 2,150,000 km2 (830,000 sq mi), making it the fifth-largest country in Asia, the largest in the Middle East, and the twelfth-largest in the world. It is bordered by the Red Sea to the west; Jordan, Iraq, and Kuwait to the north; the Persian Gulf, Bahrain, Qatar and the United Arab Emirates to the e

Sourced from Wikipedia
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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI'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.

Job Description
Develops the data extraction and preparation processes. Runs data quality audits and identifies issues with data collection. Implements improvements and fixes to data collection processes. Oversees SQL databases that can be large and complex.
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