Analytics Engineer Data

633.756 kr (SEK)/yr

304,69 kr (SEK)/hr

18.125 kr (SEK)/yr

The average analytics engineer data gross salary in Lund, Sweden is 633.756 kr or an equivalent hourly rate of 305 kr. This is 1% lower (-6.405 kr) than the average analytics engineer data salary in Sweden. In addition, they earn an average bonus of 18.125 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lund, Sweden. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 449.120 kr. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 715.422 kr.

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Salary Potential

708.215 kr (SEK)

12 %

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

Education

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

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City Overview

Lund, Sweden

The cost of living in Lund, Sweden is 3% more than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Lund (, US also LU(U)ND; Swedish: [ˈlɵnːd] ) is a city in the province of Scania, southern Sweden. The town had 94,393 inhabitants out of a municipal total of 130,288 as of 2023. It is the seat of Lund Municipality, Scania County. The Öresund Region, which includes Lund, is home to more than 4.2 million people. Archeologists date the founding of Lund to around 990, when Scania was part of Denmark. From 1103 it was the seat of the Catholic Archdiocese of Lund, and the towering Lund Cathedral, bu

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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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